Trade Processing Jobs in Bengaluru

Senior Backend Engineer Market Making Location: Bangalore Experience: Senior-level Education: Advanced degree in Computer Science, Mathematics, or a related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the fragmented digital asset market. Our platform provides seamless access, liquidity, and trading tools for institutional clients, enabling strategies from start to scale. Team Overview The Quant Team at FalconX is divided into three verticals: Services: Focused on complex pricing, risk management methodologies, and execution for our OTC desks. Options Market Making (MM): Provides market-making for derivatives, either as a service or as business owners. D1 Team: Quantitative traders providing market-making services while managing discretionary risk for linear products. Role Overview As a Senior Backend Engineer on the Market Making team, you will develop and enhance backend systems that provide critical tools, insights, and infrastructure for pricing, risk management, and trading operations. You will work closely with traders, quants, product managers, and trade operations teams to deliver robust, scalable, and high-performance applications. Key Responsibilities Build and maintain backend infrastructure to support pricing and risk management methodologies for complex and new products. Develop fundamental models in support of the quant team s three verticals. Collaborate with cross-functional teams including design, product management, traders, and quants to deliver scalable and efficient solutions. Solve technically challenging problems of high scope and complexity. Contribute to innovative products in the crypto derivatives space, such as correlation exotics and missing data volatility pricing. Ensure high-quality, maintainable code with strong testing, monitoring, and documentation practices. Required Qualifications Advanced degree in Computer Science, Mathematics, or related field. Proficiency in Python, with experience in a low-level language (C/C++/Rust) preferred. Familiarity with distributed systems and scalable architectures. Understanding of derivative products and risk management frameworks. Strong grasp of data structures, algorithms, and design patterns. Excellent problem-solving skills, with a detail-oriented and collaborative mindset. Strong communication skills and ability to work in a fast-moving, agile environment. Comfortable contributing to early-stage product development in a startup setting. Bonus / Preferred Qualifications Experience with exotic products and derivatives. Risk management and portfolio management experience. Knowledge of numerical methods, optimization, and modeling techniques. Familiarity with frontend frameworks such as React. Help make crypto assets a successful asset class for institutional investors. Provide critical tools and infrastructure that shape trading strategies and pricing models. Collaborate with top talent in trading, quant research, and technology. Work on some of the most innovative products in the crypto derivatives space. Qualification : Advanced degree in Computer Science, Mathematics, or a related field

Trade Operations Associate FalconX Location: Bangalore Experience: 4 8 Years Education: Any Graduate About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the complex and fragmented digital asset ecosystem. Our platform enables seamless access, liquidity, and tools for institutional clients to execute strategies from start to scale. Role Overview As a Trade Operations Associate, you will be a key point of contact for trade settlements and operations, ensuring accurate, timely, and compliant processing of trades across internal and external systems. You will collaborate closely with Trading Desk, Product, Customer Success, Treasury, Accounting, Risk, and Compliance teams to deliver a smooth operational workflow in a fast-moving market. Key Responsibilities Handle all incoming counterparty settlement requests within agreed timeframes and manage a portfolio of counterparties. Collaborate with Trading Desk, Product, and Customer Success teams to understand and deliver on client needs. Reconcile trades, transfers, and inventory across internal subsystems and external entities such as banks and custodians. Monitor daily inventory requirements for settlement, lending, and borrowing activities, liaising with Treasury. Support Compliance and Risk teams in designing effective controls in a rapidly evolving regulatory landscape. Adhere to established trade operations processes to ensure regulatory compliance. Provide accurate trade and settlement data to Accounting and ensure timely reporting. Perform reconciliations between internal and external systems, identify breaks, and resolve issues. Continuously improve reconciliation processes, identify gaps, and implement solutions for data integrity. Requirements 4 8 years of experience in a trading firm, hedge fund, or investment bank. Strong self-management skills; comfortable organizing work with checklists and tracking progress. Experience working in fast-paced, high-pressure environments. Ability to multitask, prioritize, and manage critical day-to-day functions. Desire to gain expertise in digital assets such as Bitcoin and Ethereum. Willingness to understand the full lifecycle of institutional crypto trading operations. Serve as the first point of contact for trade settlements and operations. Gain exposure to multiple functions in a complex, dynamic market. Contribute to robust processes that ensure operational accuracy, compliance, and efficiency. Be part of a pioneering team shaping the infrastructure for institutional digital asset trading. Qualification : Any Graduate

General Manager Healthcare RCM Operations Job Category: Management Location: Bangalore Job Overview We are seeking an experienced General Manager Healthcare RCM Operations to lead end-to-end Revenue Cycle Management (RCM) operations across multiple clients. This leadership role is responsible for strategic planning, operational excellence, client management, team leadership, compliance, and financial performance, ensuring efficiency, accuracy, and client satisfaction in all RCM functions. Key Responsibilities Strategic Leadership Drive strategy, planning, and execution across all RCM functions including patient access, billing, coding, charge capture, claims processing, payment posting, AR follow-up, and denial management. Develop and implement initiatives to improve collections, reduce denials, and optimize cash flow. Align operational strategies with client expectations, regulatory compliance, and industry best practices. Operational Excellence Oversee large-scale RCM operations across multiple clients/accounts. Monitor key performance indicators (AR days, clean claim rate, denial rate, net collection rate, etc.) and drive continuous improvement. Implement process automation and digital transformation initiatives to enhance operational efficiency. Client & Stakeholder Management Serve as the primary point of contact for client leadership. Build strong client partnerships, ensuring SLAs, TATs, and quality standards are consistently met or exceeded. Manage escalations and drive resolutions with a client-focused approach. Team Leadership Lead, mentor, and inspire a large team of managers, SMEs, and associates across functions. Hire, train, and develop leadership talent to ensure a strong succession pipeline. Promote employee engagement, retention, and a performance-driven culture. Compliance & Quality Ensure strict adherence to HIPAA, CMS guidelines, and client-specific compliance requirements. Establish and maintain robust internal controls and audit processes. Collaborate with Quality and Training teams to maintain high accuracy and performance standards. Financial Management Own the P&L for assigned accounts and operations. Drive cost optimization initiatives without compromising service quality. Provide accurate financial forecasts, budgets, and performance reports to leadership. Key Skills & Competencies Deep expertise in US healthcare RCM (front-end to back-end). Strong knowledge of payer rules, coding guidelines, and HIPAA compliance. Proven experience in managing large-scale operations (250+ FTEs). Client-facing leadership with the ability to build CXO-level relationships. Data-driven decision-making with strong analytical and problem-solving skills. Experience driving digital transformation and automation (RPA, AI in RCM). Excellent communication, negotiation, and stakeholder management capabilities. Success Metrics Improvement in collections and AR performance. Reduction in denials and operational errors. Achievement of SLA and client satisfaction targets. Strong employee retention and a robust leadership pipeline. Profitability and cost optimization in line with business objectives.

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Business Development Manager Oleo Chemicals Location: Bangalore Experience: 2+ years Work Type: Full-Time About Scimplify Scimplify is a specialty chemicals manufacturing company offering end-to-end solutions from R&D and custom synthesis to large-scale manufacturing and doorstep delivery. Headquartered in Bengaluru, we serve multiple industries including pharmaceuticals, agrochemicals, industrial chemicals, personal care, and fragrances. We enable 500+ businesses across 20+ countries to scale innovative chemicals from lab to commercial production. With over $54 million raised from investors like Accel and Bertelsmann, Scimplify has global operations in India, Japan, USA, UAE, and Indonesia, and a growing team of 250+ professionals. Learn why Forbes recognizes us as one of the top 100 startups in Asia to watch. Role Overview We are seeking a Business Development Manager to drive growth in the Oleo Chemicals segment. The ideal candidate will have a deep understanding of oleo chemical products and applications across personal care, home care, pharmaceuticals, food, lubricants, and industrial chemicals, while building strong client relationships and expanding Scimplify s market presence. Key Responsibilities Identify, develop, and manage new business opportunities in the Oleo Chemicals segment. Build and maintain long-term relationships with key customers, distributors, and channel partners. Conduct market research to analyze trends, competitor activities, and customer needs. Develop sales strategies, pricing models, and business plans to achieve revenue targets. Collaborate with supply chain, R&D, and operations teams to ensure smooth delivery and customer satisfaction. Represent Scimplify in trade shows, exhibitions, and industry networking events. Provide market intelligence and customer feedback to inform product portfolio and strategy. Track and report sales performance, pipeline, and forecasts to leadership. Qualifications & Skills Bachelor s degree in Chemistry, Chemical Engineering, or related field (MBA preferred). 3 years of proven experience in Business Development/Sales in Oleo Chemicals or Specialty Chemicals. Strong understanding of oleo chemical products (fatty acids, fatty alcohols, esters, glycerine, etc.) and their end-use industries. Established network of clients and distributors in the sector is highly desirable. Excellent negotiation, communication, and presentation skills. Strong analytical mindset, able to convert insights into actionable business plans. Self-motivated, target-driven, and comfortable in a fast-paced startup environment. Benefits & Perks Travel & Mobility: Corporate Uber/MMT, relocation & transfer support, travel policy. Insurance & Wellness: Family health coverage (up to 5 members, 5 L), Employee Assistance Program, onsite medical, emergency support, online doctor consultation. Lifestyle & Engagement: Monthly outings, corporate dinners, parties, trips, parental support (maternity/paternity, daycare). Retirement & Financial: Employee PF contribution, flexible PF, NPS, car lease, salary advance policy. Qualification : Bachelors degree in Chemistry, Chemical Engineering or related field (MBA preferred)

Lead/Associate Manager Case Processing 1 Location: Bengaluru Employment Type: Full-Time About the Role We are seeking a dynamic and experienced Lead/Associate Manager Case Processing to join our Pharmacovigilance team in Bengaluru. This role requires deep domain knowledge, leadership capability, and hands-on experience in handling Individual Case Safety Reports (ICSRs) across various sources. The ideal candidate will be responsible for managing day-to-day operations, ensuring compliance with global regulatory requirements, and mentoring a team of case processors. Key Responsibilities Operational Oversight Oversee and ensure the timely processing of ICSRs in accordance with SLA/KPI metrics. Allocate tasks effectively across the team to meet project deliverables and workload requirements. Proactively monitor team performance and work closely with team members to resolve operational or domain-related challenges. Risk & Issue Management Identify, escalate, and mitigate risks related to deliverables, compliance, or resourcing. Serve as a point of contact for internal stakeholders and clients regarding operational queries or escalations. Team Leadership & Performance Management Conduct regular performance evaluations, provide constructive feedback, and support career development of team members. Guide and mentor the team and Subject Matter Experts (SMEs) in ICSR processes, compliance standards, and MedDRA coding. Support functional capability development within the team and leadership pipeline. Training & Quality Assurance Conduct process and project-specific training as needed to ensure team competence and readiness. Ensure adherence to quality standards by contributing to quality system documentation, SOPs, and procedural updates. Provide feedback and suggestions to strengthen client/internal workflows and ensure continuous improvement. Process Improvement & Strategic Contribution Suggest and implement process enhancements to improve efficiency, accuracy, and compliance. Contribute to the development of scalable and sustainable pharmacovigilance processes. Collaborate cross-functionally to support strategic goals and business growth initiatives. Required Experience & Knowledge In-depth understanding of ICH-GCP, GVP modules, 21 CFR, and relevant global regulatory requirements. Proven expertise in managing high-volume ICSR workloads, including serious, non-serious, and potentially serious reports. Experience processing ICSRs from diverse sources: spontaneous, literature, solicited, regulatory authorities, and clinical trials. Exposure to therapeutic areas such as rare diseases and oncology is highly desirable. Experience in literature screening and review would be an added advantage. Proficient in MS Office applications (Excel, Word, Outlook, PowerPoint). Candidate Profile Education: Master s degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements. Experience: 10 12 years of relevant experience in pharmacovigilance, case processing, or related functions. Strong leadership skills with a proven ability to train, mentor, and manage cross-functional teams. Demonstrated ability to allocate resources, manage competing priorities, and maintain high-quality standards. Proactive, process-driven mindset with a commitment to continuous improvement and regulatory compliance. Work with a global leader in drug safety and pharmacovigilance services. Lead high-performing teams and contribute to the delivery of impactful healthcare solutions. Be part of a collaborative environment that values innovation, learning, and operational excellence. Apply now to lead meaningful work that impacts patient safety around the world. Qualification : Masters degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Manager Custody Experience: 3 7 years Location: Bengaluru Team: Operations & Risk About CoinDCX At CoinDCX, we believe Change Starts Together. Our mission is to make Web3 and digital assets more accessible, secure, and user-friendly for everyone. In just six years, we've grown from India s first crypto unicorn to a leading platform with over 125 million users. As we continue to scale our impact, we re building the next generation of secure, scalable, and compliant Web3 infrastructure and we want you to be part of it. About the Role As Manager Custody, you will be responsible for overseeing digital asset custody operations, ensuring optimal deployment on Earn products, maintaining comprehensive risk monitoring, and aligning with regulatory compliance standards. This role is critical to safeguarding assets, improving operational efficiency, and scaling our Earn offerings in a rapidly evolving regulatory and technical landscape. Key Responsibilities 1. Token Deployment & Custody Operations Ensure 100% deployment of tokens across the Earn platform. Develop and execute token allocation strategies for staking, liquidity pools, and other avenues. Liaise with trading and portfolio management teams to identify deployment opportunities. Maintain accurate custody records and ensure timely, reliable disbursals. Create investment memos (IMs) for Earn deployments and work with the risk committee for approvals. Establish and maintain SOPs for custody and Earn operations. 2. Risk Monitoring & Incident Management Design and maintain a comprehensive risk monitoring framework with full coverage. Monitor for operational, technical, and counterparty risks in real-time. Conduct risk assessments for new deployments and token integrations. Manage incident response and ensure resolution of custody-related risk events within 24 hours. Deliver periodic risk reports to internal stakeholders and leadership. 3. Operational Excellence & Compliance Manage day-to-day custody operations in line with regulatory and internal policies. Interface with external custodians, service providers, and compliance bodies. Implement continuous improvement initiatives to drive process efficiency and accuracy. Ensure full documentation and audit readiness for all custody activities. 4. Cross-functional Collaboration Partner with Technology, Product, Compliance, and Risk teams to drive system improvements. Contribute to enhancements of Earn products from an operational and security standpoint. Support regulatory and audit processes through timely reporting and coordination. Performance Metrics 100% Token Deployment on Earn products 100% Risk Monitoring coverage Deployment Efficiency Ratio (actual vs. target) Risk Event Resolution Time (

Sales Engineer Metal Recycling Location: Bangalore Experience: 5 7 years Education: BE / Diploma in Mechanical Engineering Job Type: Full-Time Job Overview We are seeking an experienced Sales Engineer with a strong technical background in Metal Recycling. The ideal candidate will be responsible for generating leads, managing client relationships, and clearly communicating the technical and business value of our products. This role involves extensive travel across India to identify new business opportunities in the steel and scrap industry. Key Responsibilities Business Development & Lead Generation: Identify and approach prospective clients in the metal recycling and steel mill industries. Conduct in-depth discussions with clients to understand their needs and provide tailored solutions. Generate new business opportunities through proactive lead generation and follow-ups. Technical Sales & Support: Present and articulate the technical capabilities of our products to clients, ensuring clear understanding. Provide technical demonstrations and product presentations to prospective leads. Offer ongoing technical support to clients, answering queries and providing detailed solutions as needed. Market Knowledge & Client Relationships: Leverage existing knowledge of the steel mills and scrap industry to effectively pitch products and services. Build and maintain long-term relationships with new and existing clients. Work closely with clients to ensure satisfaction and resolve any product or service-related concerns. Travel & Client Engagement: Travel extensively across India to meet clients, generate leads, and attend trade events or industry meetings. Required Skills & Experience 5 7 years of experience in Sales/Business Development within the steel or metal recycling industries. Strong understanding of the functioning of steel mills and the scrap industry. Ability to articulate complex technical concepts to a non-technical audience. Proficiency in AutoCAD, 3D drawings, or similar tools is an added advantage. Excellent communication skills in English, Hindi, and at least one regional language. Strong interpersonal, written, and verbal communication skills. Preferred Candidate Profile Willingness to travel regularly across India to generate leads and close sales. Strong technical acumen, with the ability to bridge the gap between technical concepts and business value. Self-motivated and driven to achieve sales targets and customer satisfaction. Qualification : BE / Diploma in Mechanical Engineering

Plant HR Executive / Generalist Location: Bengaluru Department: Plant HR Designation: Executive Experience: 3 to 4 Years Education: MSW / MBA (HR) Job Summary As a Plant HR Executive at Sansera Engineering, you will be responsible for supporting a wide range of HR activities within the manufacturing facility. This includes manpower planning, grievance handling, payroll coordination, compliance, and employee engagement. The role requires a hands-on HR professional who can balance administrative efficiency with employee-centric support. Key Responsibilities 1. Floating Manpower Management Manage timely recruitment and deployment of contract/floating manpower. Liaise with manpower agencies to ensure optimal workforce availability for all shifts. 2. Grievance Handling Serve as the first point of contact for contract employee issues. Address and resolve grievances in a timely, fair, and policy-compliant manner. 3. MIS Reporting Generate and maintain monthly reports on attendance, manpower, attrition, and recruitment. Support HR planning with data insights and dashboards. 4. Payroll Support Assist in attendance reconciliation, leave tracking, and overtime validation. Coordinate with the payroll team to ensure accurate and timely salary processing. 5. Facility Operations (Canteen, Transport & Security) Monitor and manage daily operations in coordination with service vendors. Ensure SLA adherence and address employee feedback related to these services. 6. Employee Engagement & Communication Organize engagement activities, cultural events, and welfare initiatives. Support the creation of an inclusive and motivated work environment. 7. General Administration Oversee housekeeping, stationery, and basic facility maintenance. Ensure compliance with safety, hygiene, and company policies. 8. Continuous Improvement (Kaizen) Encourage employee participation in Kaizen initiatives. Track and document implementation of improvement suggestions. Skills & Competencies Strong interpersonal and communication skills. Proficient in MS Office (Excel, Word, PowerPoint). Basic knowledge of labor laws, HR compliance, and statutory requirements. Effective problem-solving and coordination abilities. Ability to independently manage field-level and administrative responsibilities. Qualification : MSW / MBA (HR)

Position: Enquiry Processing Associate Marketing Department: Marketing Extension Location: Bengaluru Role Overview: We're looking for a responsive and detail-oriented Enquiry Processing Associate to manage incoming enquiries from Key Account Managers (KAM) through phone, email, and chat. This role involves accurately processing enquiries, providing product information, resolving issues, and collaborating across teams to ensure excellent customer service. Key Responsibilities: Respond promptly and professionally to enquiries from KAM via phone, email, and chat. Accurately process and document all enquiries in the company system. Provide clear and detailed information regarding products, services, and company policies to KAM on a daily basis. Resolve customer issues efficiently and escalate complex cases to the relevant departments or personnel. Maintain current knowledge of company products, services, and technologies. Work closely with other departments to ensure enquiries are addressed comprehensively and promptly. Generate, present, and analyze reports on enquiry trends to support continuous improvement. Qualifications & Skills: Bachelor s degree in Business Administration (BBA) or any other discipline. Excellent communication skills, both written and verbal. Strong attention to detail and organizational skills. Ability to work collaboratively in a team environment. Proficient in using communication tools and enquiry management systems. Qualification : Bachelors degree in Business Administration (BBA) or any other discipline.

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Software & Algorithm Design Engineer Robotics Location: Bengaluru Overview: We are seeking a talented Software and Algorithm Design Engineer to join our Robotics team. The ideal candidate will have a strong foundation in machine learning, computer vision, and image processing, coupled with practical experience in developing and optimizing algorithms for real-world robotics applications. This role demands proficiency in C++, familiarity with GPU computing, and a systems-level approach to problem-solving. Key Responsibilities: Develop and model new Machine Learning architectures and algorithms from the ground up. Apply expertise in machine vision and image processing to solve complex robotic perception problems. Classify and evaluate various ML models, understanding their benefits, limitations, and evolution. Parameterize problems with a clear understanding of system-level and process-level impacts. Translate and optimize DSP and/or Neural Network-based algorithms for high performance. Build robust test frameworks to validate algorithm correctness and performance. Collaborate closely with cross-functional teams to deliver production-ready, reliable robotics software beyond prototyping stages. Document code and algorithm design meticulously to ensure maintainability and clarity. Utilize GPU technologies, including CUDA, to accelerate algorithm performance. Required Skills & Qualifications: Strong grasp of Machine Learning fundamentals and practical ML toolkits. Proficient in C++ (Python proficiency assumed). Solid background in Machine Vision and Image Processing. Understanding of control systems is a plus. Familiarity with GPU application development and CUDA programming (expert level not required). Experience optimizing algorithms related to DSP or Neural Networks. Skilled in building comprehensive test frameworks for software validation. Passionate about documentation and writing clean, readable code. Comfortable working within a software development lifecycle to create production-quality software. Preferred Knowledge: ML Architectures and Neural Networks Digital Image Processing & Machine Vision CPU and GPU Architectures CUDA and GPU Programming Basic Software Design Patterns Memory Architecture & Optimization Techniques Algorithm Performance Optimization Tools & Technologies: C++ CUDA cuDNN and other machine learning frameworks Computer Vision libraries (e.g., OpenCV)

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Data Privacy Compliance Specialist Location: Bangalore, India Office About the Team Rubrik s Legal Team is at the heart of our mission to secure the world s data. We provide essential guidance across contract management, intellectual property, employment law, privacy, trade compliance, and litigation. Our team thrives on open debate, innovation, and ownership, contributing to building an iconic company. Rubrik is growing rapidly and evolving join us to be unstoppable, together. About the Role Rubrik is looking for a Data Privacy Compliance Specialist to strengthen and manage our global privacy program. The ideal candidate will have hands-on experience with privacy management accountability frameworks (PMAF), compliance auditing, and implementing data protection practices aligned with evolving global regulations. This role requires working collaboratively across procurement, engineering, product management, legal, and information security teams worldwide to maintain compliance and mitigate privacy risks. What You ll Do Conduct internal and coordinate external privacy audits as needed. Assess and monitor privacy compliance of third-party vendors and service providers. Continuously review data handling practices to ensure compliance with internal policies and global regulations. Develop, maintain, and enforce data privacy policies and procedures aligned with legal requirements and business objectives. Maintain detailed documentation to demonstrate compliance and accountability. Manage and update an inventory of personal data processing activities, including data flows and classifications. Oversee cross-border data transfer mechanisms ensuring adherence to applicable privacy laws. Lead internal privacy reviews, supporting engineering and data governance teams with data mapping, documentation, and privacy impact assessments. Collaborate with teams to implement privacy risk mitigation solutions while ensuring regulatory adherence. Develop and deliver privacy training to internal stakeholders to raise awareness and ensure compliance with privacy responsibilities. Experience You ll Need Minimum 3+ years of experience in data privacy compliance, preferably with exposure to Privacy Management Accountability Frameworks (PMAF). Strong knowledge of global data protection regulations such as GDPR, CCPA, CPRA, and relevant industry standards. Proven expertise in data mapping, risk assessments, and conducting privacy audits. Excellent communication and stakeholder engagement skills across diverse teams. Certifications such as CIPP-E, CIPM, CIPT, CISSP preferred; Juris Doctor (JD) is a plus. Skills Required Deep understanding of IT, SaaS, and cloud provider compliance challenges. Solid knowledge of information security principles and best practices. Proficiency with privacy management tools like OneTrust for data mapping and assessment automation. Basic understanding of cookies and marketing technology systems. Ability to clearly articulate complex privacy and security concepts to both technical and non-technical audiences. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data with Zero Trust Data Security . Our platform leverages machine learning to secure enterprise, cloud, and SaaS data, helping organizations ensure data integrity, availability, risk monitoring, and rapid recovery from cyberattacks and operational disruptions.

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Technical Support Professional IBM CICS About CICS Welcome to CICS the world s leading application server software for IBM Z, processing an impressive 1.2 million transactions per second, equating to 100 billion transactions daily. Trusted by some of the largest financial institutions, including banks, insurance companies, and Fortune 500 companies, CICS powers critical transaction applications globally, helping businesses run efficiently and securely. Our team is a passionate, diverse, and highly skilled group of technical support professionals dedicated to providing top-tier support for IBM CICS clients worldwide. We are seeking a motivated individual with a strong technical background and a customer-first mindset to join our team and assist in delivering exceptional support to our global client base. Your Role and Responsibilities As a Technical Support Professional at IBM, you will be the first point of contact for clients experiencing software issues. Your primary responsibility is to provide expert technical support and troubleshooting assistance to ensure that client systems run smoothly. In this role, you will: Provide critical support for client transaction processing applications, ensuring smooth operations for some of the world s largest institutions. Work on high-impact projects, using advanced software development tools and techniques. Utilize your problem-solving expertise to diagnose and resolve technical issues related to CICS and mainframe systems. Collaborate with a global, multi-functional team, ensuring that our clients receive world-class service and that their software environments are running optimally. Technical Support at IBM is crucial to the success of our clients and helps maintain systems that drive key processes in finance, transportation, security, and beyond. Whether internally focused or working directly with clients, your contributions will make a measurable impact. Required Education Bachelor s Degree in Computer Science, Information Technology, or a related field. Preferred Education Master s Degree is a plus. Required Technical and Professional Expertise 3+ years of experience working on z/OS mainframe systems. 3+ years of experience with CICS system administration. Strong understanding of CICS architecture and the key components that make up CICS applications. Experience in upgrading or tailoring CICS systems to meet customer needs. Proficiency in at least one of the following programming languages: Assembler, PL/I, COBOL, or Java. Strong problem determination skills, including experience using CICS dump and trace diagnostics tools. Ability to take a leading role in Critical Situation resolution. Experience working in virtual, cross-functional teams and collaboration across different technical disciplines. Exceptional communication skills ability to explain complex technical issues to non-technical stakeholders and understand customer requirements. Ability to stay calm under pressure, work independently, and remain organized in high-stress situations. Preferred Technical and Professional Experience Experience with Customer Relationship Management (CRM) tools, such as Salesforce. Familiarity with debugging tools like IPCS and Fault Analyzer. Experience working with USS, TCP/IP, SMP/E, RACF, and VSAM. Exposure to IMS, DB2, WAS, SSL, MQ, and DevOps environments. As a member of IBM, you ll have the opportunity to be part of a culture that fosters innovation, professional growth, and collaboration. We value diversity and encourage employees to challenge the status quo while delivering impactful solutions to our clients. Join us, and together we ll continue to shape the future of transaction processing technology and client support. Qualification : Bachelors Degree in Computer Science, Information Technology, or a related field.

SAP S/4 HANA Sales & Procurement Support Specialist Company Arm Location Bengaluru, India Job Overview This role is based in Arm s Bengaluru office, operating on a 16x5 shift pattern with on-call responsibilities on a rotational basis. The initial focus will be on specialist end-user support and resolving issues related to SAP S/4 HANA Sales, Sourcing & Procurement, and Logistics General & Execution solutions. Over time, the role will evolve into a DevOps structure, including design, development, project participation, and ongoing service maintenance. Candidates should hold at least a B.Tech or higher degree in Computer Science, Software Engineering, or a related field, and have at least 3 years of experience in a similar role within a global organisation. A minimum of 1 year must include hands-on experience with SAP S/4 HANA solutions. Required Skills and Experience Experience providing L2 and L3 support for SAP S/4 HANA systems. Proven track record in operational support, including Incident, Request, Change, and Problem Management aligned with ITIL standards. At least one S/4 HANA implementation as a Sales consultant, with strong understanding of integration across other SAP modules. Deep experience with SAP S/4 HANA Sales, Sourcing & Procurement, and SAP Variant Configuration (LO-VC). Hands-on experience with SAP FIORI and S/4 HANA Embedded Analytics. Knowledge of SAP Entitlement Management System (EMS). Experience integrating S/4 HANA with EMS using SAP Cloud Platform (CPI) and/or other middleware platforms. Knowledge of SAP Revenue Accounting and Reporting (RAR), SAP Global Trade System (GTS), and SAP Ariba. Excellent communication, teamwork, and analytical skills. Nice-To-Have Skills and Experience Certifications in SAP S/4 HANA. Familiarity with Salesforce, ServiceNow, and other web-based technologies. Experience working in the semiconductor industry or other engineering-focused organisations. Comfortable working with development practices such as Waterfall and Agile. Experience working in a global, diverse, and multicultural environment. What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organisation of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace, Arm empowers every team member to grow, succeed, and make a meaningful contribution to the company's global success. #LI-KR2