Appraisal Data Jobs in Mumbai

CHESS/ESG Data Analyst Location: Mumbai Employment Type: Full-time Reporting To: Global Head of ESG Reporting & CHESS Systems Role Summary The CHESS/ESG Data Analyst is responsible for managing, validating, and supporting ESG and CHESS data across all operating companies. This role ensures data integrity, supports assurance readiness, and drives digital optimization for ESG reporting, acting as the operational link between site teams and Group Sustainability. Key Responsibilities 1. Data Collection and Validation Coordinate and track ESG/CHESS data submissions from operating companies. Validate inputs for accuracy and compliance with Group data standards. Manage version control and evidence logs to ensure auditability. Resolve data gaps and anomalies by following up with specific sites and functions. 2. System Management and Analytics Provide user administration and troubleshooting support for Intelex. Develop automated dashboards and visualizations using Qlik Sense or Power BI. Contribute to system enhancements and the integration of internal data solutions. Support automation pilots and reporting enhancements to drive digital maturity. 3. Assurance and Compliance Support queries from external auditors with precise data extracts and documentation. Maintain organized, traceable evidence files for key ESG metrics. Coordinate the completion and validation of external ESG questionnaires. 4. Stakeholder Engagement Build collaborative relationships with divisional CHESS leads and functional teams. Serve as the primary point of contact for operational data queries and user assistance. Support training sessions to improve data ownership across the organization. Qualifications & Experience Experience: 3 6 years in data coordination, ESG reporting, or management systems. Technical Skills: Experience using Intelex is required; knowledge of Qlik Sense or Power BI is highly desirable. Core Competencies: Strong attention to detail, documentation discipline, and the ability to manage global deadlines. Role Impact Ensures traceable data to support global reporting and assurance. Strengthens the operational foundation of sustainability data systems. Improves process efficiency through system optimization.

Position: Data Analyst Collections Location: Mumbai Qualification: Graduate Experience: 3 to 6 years Job Description: We are looking for a Data Analyst Collections to join our team. This role involves analyzing and interpreting data from multiple sources to provide actionable insights and support decision-making. You will be responsible for reporting, system management, process improvement, and collaborating cross-functionally to drive performance improvements. Key Responsibilities: Data Analysis & Reporting: Collect and analyze data from various sources to identify trends, patterns, and key insights. Prepare daily, weekly, and monthly operational reports as well as client-specific reports. Design and manage interactive dashboards to track key performance indicators (KPIs) and provide insights for management decision-making. System Management: Oversee the daily operation and maintenance of information systems, ensuring smooth and secure data handling. Ensure the accuracy, security, and integrity of all databases. Provide support for troubleshooting and resolving any system-related issues. Process Improvement & Automation: Identify and implement opportunities to enhance reporting processes and system efficiency. Automate repetitive tasks and processes using advanced Excel functions (VBA, Macros), SQL, and BI tools such as Power BI or Tableau. Strategic & Cross-Functional Support: Collaborate with various departments to understand data requirements and deliver customized reports. Monitor compliance with Service Level Agreements (SLAs), internal controls, and regulatory standards. Provide technical support to enhance decision-making and business performance across teams. Key Qualifications & Skills: Technical Expertise: Advanced proficiency in MS Excel (functions, VBA/Macros), SQL, Tableau, Power BI, and database management systems. Analytical Skills: Strong ability to process large datasets, identify trends, and derive actionable insights. Regulatory Knowledge: Familiarity with debt collection laws, compliance requirements, and reporting standards (preferred for roles related to collection or finance MIS). Communication Skills: Ability to clearly present data insights to both technical and non-technical stakeholders. Qualification : Graduate

Job Title: Junior Data Center Engineer Location: Mumbai Experience: 1-5 Years Job Summary: We are looking for two enthusiastic and technically adept Junior Data Center Engineers to support the day-to-day operations at our Mumbai data center. Under the guidance of a Senior System Administrator, the ideal candidates will assist in hardware installations, monitoring, troubleshooting, and maintaining both physical and virtual infrastructure. Key Responsibilities: Hardware Installation & Maintenance: Assist in the installation and maintenance of servers, network devices, and racks. Environment Monitoring: Monitor key data center environmental factors such as temperature, humidity, and power to ensure optimal conditions. Troubleshooting: Perform basic troubleshooting of hardware and network issues, escalating more complex problems as needed. Remote Hands Support: Provide support for remote hands requests and coordinate with internal teams for resolutions. Inventory Management: Maintain accurate inventory of IT assets and ensure proper documentation for all equipment. Patching & Cabling: Assist in the patching, cabling, and labeling of equipment for organization and efficiency. Incident Handling: Follow SOPs for incident handling, escalation, and reporting to ensure smooth operations. Security & Compliance: Ensure compliance with physical security and access protocols for the data center. Scheduled Maintenance & Upgrades: Participate in scheduled maintenance and upgrades of data center infrastructure. Technical Skills: Operating Systems: Basic understanding of Windows and Linux operating systems. Networking: Familiarity with networking concepts such as IP, DNS, DHCP. Virtualization: Exposure to virtualization platforms like VMware and Nutanix (preferred). Data Center Operations: Knowledge of data center hardware components and operations. Monitoring & Ticketing Tools: Experience working with monitoring tools and ticketing systems. Hardware Handling: Comfort with hardware handling, cabling, and labeling. Soft Skills: Communication: Good communication and interpersonal skills to effectively collaborate with internal teams and vendors. Willingness to Learn: Eagerness to learn and adapt to new technologies in the data center environment. Attention to Detail: Strong attention to detail with a focus on documentation and operational accuracy. Adaptability: Ability to work in shifts and handle pressure in a fast-paced environment. Team Player: Proactive and collaborative attitude to contribute effectively to team success. Preferred Qualifications: Education: Diploma or Bachelor s degree in Computer Science, IT, or a related field. Certifications: Certifications such as CCNA, CompTIA A+, or equivalent (preferred but not required). Dynamic Environment: Be part of a fast-paced and innovative data center team, supporting critical infrastructure operations. Learning Opportunities: Gain hands-on experience in both physical and virtual environments with exposure to cutting-edge technologies. Growth Potential: Opportunity to expand your skill set and grow within a rapidly evolving field. Qualification : Diploma or Bachelors degree in Computer Science, IT, or a related field

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: Data Analyst Location: Mumbai, India Division: Data & Analytics / Marketing About the Role As a Data Analyst within the Blenheim Chalcot portfolio and Oakbrook, you will be crucial in driving data-driven insights for our consumer lending business. You will analyze marketing performance across direct and third-party aggregator channels, helping optimize spend and strategy. Your work will involve building and maintaining dashboards (SQL, Power BI), monitoring campaign and product performance, and ensuring channel efficiency. Key Responsibilities Campaign & Channel Performance Analysis Track and analyze marketing campaigns (paid search, social, email, display, aggregators). Measure key conversion metrics: impressions → clicks → applications → approvals → disbursals. Identify underperforming campaigns/channels and recommend improvements. Aggregator Performance Monitoring Monitor lead volume, quality, and conversion rates from aggregators (e.g., Clear Score, Compare the Market). Benchmark aggregator ROI and provide actionable insights for partner management. Product Performance Tracking Analyze application, approval, and disbursal trends by product type. Segment performance by demographics, channel, and credit risk tiers (prime, near-prime, non-prime). Identify opportunities for product/pricing optimization. Dashboard Development & Reporting Design and maintain interactive dashboards using SQL and Power BI. Ensure data accuracy and real-time performance tracking. Present weekly/monthly reports and insights to marketing, finance, and product teams. Customer Journey & Funnel Analysis Analyze drop-off points in the customer journey. Collaborate with CRO and UX teams to improve application flows. Support A/B testing with data analysis. Marketing Data Governance Ensure campaign tagging and data standards across platforms (GA, CRM, ad networks). Collaborate with data engineering on data quality and pipeline improvements. About You Technical Skills: Advanced SQL skills (complex queries, joins, CTEs) on relational databases (Snowflake, Big Query, Redshift). Proficient in Power BI (dashboard design, KPI visualization, DAX calculations). Strong Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, array formulas). Data cleaning and preparation expertise; familiarity with Alteryx or Python/Pandas is a plus. Understanding of UTM tracking, campaign attribution models, and analytics platforms (Google Analytics, Adobe Analytics). Experience with A/B testing and statistical analysis. Familiarity with CRM and marketing platforms (Google Ads, Meta, email/SMS tools). Awareness of GDPR and data governance best practices. Non-Technical Skills: Commercial awareness in lending context (customer acquisition cost, ROI, bad debt rates). Ability to translate data insights for non-technical stakeholders (marketing, finance, compliance). Strong attention to detail and problem-solving mindset. Excellent time management balancing regular reporting and ad-hoc analysis. Curious and proactive in identifying trends and opportunities. Collaborative working style across marketing, product, risk, and data teams. About Blenheim Chalcot & Oakbrook Blenheim Chalcot is a world-leading digital venture builder with over 26 years of experience creating disruptive businesses in FinTech, EdTech, GovTech, and more. Our India team plays a vital role in our success, fostering innovation and entrepreneurship since 2014. Oakbrook, a fast-scaling FinTech venture in our portfolio, leverages advanced analytics and technology to provide personalized consumer lending solutions. We aim to simplify borrowing with fair, data-driven credit access tailored to individual customers. Join the world s leading digital venture builder. Work with a diverse, talented team in a culture of continuous learning and innovation. Opportunity to work on Gen AI-enabled cutting-edge solutions. A fun, open, and cricket-enthusiast environment (home of Rajasthan Royals IPL team!). 24 days annual leave + 10 public holidays. Private medical insurance for you and your family & life insurance coverage. Our Commitment We value diversity and inclusion, fostering a culture where everyone s skills and talents can thrive. We recruit, develop, and promote based on merit and competence, driven by curiosity and collaboration. Join us to make an impact in a data-driven, fast-paced environment.

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Quantitative Data Analyst Location: Mumbai About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks priorities Becoming an expert on QRT s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimize time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Prior experience working with commodities data is a must Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.

Executive/ Sr. Executive Marketing Data, Insights & Outreach Location: Mumbai Department: Marketing & Communication Reporting to: Head Marketing & Communication Objectives of the role: Assist in developing technical content for Marketing communications Becomes a Subject Matter expert from technical point of view for content Engaging with Existing and prospective Customers for Lead Generation Tele Calling and then meeting in person Liaison with sales for lead nurturing Primary Market Research via face-to-face meetings or tele calling Demonstrate Products & Solutions at customer site Data Generation, Cleaning & Maintenance Working with Various departments to source information regarding products, software, etc Build knowledge and education regularly through workshops, research, and seminars, and share best practices and local marketing tactics with team members Requirements: Experience of minimum 1 year of working in Marketing Department Acute eye for detailing Excellent Written and spoken English Education Bachelors of Engineering. MBA in Marketing will be an added advantage Skills: Good at Powerpoint presentations, Canva, other presentation tools Research Understanding Good with MS excel Good at using AI tools for rich media generation Perks: You will be a part of International Marketing Team. Opportunity to work with a company with an open-door policy Exposure to working in both Manufacturing & IT/Software set up at one go Exposure to International Marketing Working with a high-performance team Travel opportunity both in India & Abroad Educational Qualification: BE/ME/B.Tech/M.Tech/MCA / B. Pharm MBA in Marketing Desired Candidate Profile: Ability and capability to understand technicality of the product Keep abreast with the latest trends Good communication skills and be a team player Should be organised, motivated, self-driven and quick learner Good Analytical and problem solving skills Qualification : Bachelors of Engineering. MBA in Marketing will be an added advantage

Job Title: Data Analyst Investment Team Location: Mumbai, India Company: BCI Finance (Part of Blenheim Chalcot Portfolio) Experience: 1 3 Years Department: Investment & Analytics Employment Type: Full-Time The Role: We are looking for a highly analytical and detail-oriented Data Analyst to join the Investment Team at BCI Finance, part of the Blenheim Chalcot portfolio. You ll play a key role in building models, conducting borrower-level data analysis, maintaining databases, and developing dashboards that directly influence investment decisions and credit strategies. This role offers exposure to real-world financial data, modern data platforms, and the chance to contribute to the next generation of GenAI-enabled FinTech businesses. Key Responsibilities: Run-Off Modelling Build and maintain run-off models to assess credit security against borrower portfolios. Contribute to quarterly IFRS9 provisioning through model updates. Conduct scenario and sensitivity analyses for new deal structures. Borrower Data Analysis Analyze loan-level performance to identify trends, risks, and concentration issues. Support investment memos with actionable credit risk insights. Maintain and update Power BI dashboards for borrower monitoring. Present emerging trends during monthly monitoring sessions. Data Management & Platform Development Upload and manage borrower data in a PostgreSQL database. Ensure data integrity and consistency across systems. Assist in developing Python-based analytics tools for internal users. Technical Stack: Required Skills Excel: Advanced skills for model building and financial analysis. Python: For analytics, data manipulation, and scripting. AI Tools: Familiarity with tools like ChatGPT and Cursor to enhance productivity. Nice-to-Have Skills SQL (PostgreSQL): For data extraction and management. Power BI: For creating dashboards and visual reporting. Note: Support in Python, SQL, and Power BI is available through the India team. About You: The ideal candidate thrives in fast-paced, data-driven environments and enjoys working cross-functionally. You're a problem-solver with a technical edge and a solid understanding of financial and investment principles. Qualifications & Experience: Bachelor's degree in a STEM field, Finance, or a quantitative discipline. Strong financial modeling and Excel experience. Working knowledge of Python and/or SQL. Basic understanding of credit risk and investment structures. Comfortable working with large, complex datasets. What We Offer: Competitive Compensation. Exposure to global FinTech investment processes. Learn directly from Blenheim Chalcot, the world s leading digital venture builder. Hands-on experience with GenAI tools and next-gen data platforms. Private medical insurance for you and your immediate family. Life insurance coverage. 24 days annual leave + 10 public holidays. A dynamic and fun culture (we own the Rajasthan Royals IPL team!). About BCI Finance: BCI Finance is a private credit-specialist investment manager under Blenheim Chalcot, focused on empowering high-growth FinTech companies through flexible, empathetic debt solutions. Known for its strong track record through the Credit Opportunities Fund, BCI blends rigorous credit analysis with innovative funding strategies. About Blenheim Chalcot: Blenheim Chalcot has been building digital businesses for over 26 years across FinTech, EdTech, GovTech, HealthTech, and more. With a team of 3,000+ and a presence in the UK and India, Blenheim Chalcot helps ventures scale by providing strategic expertise and operational support in technology, growth, talent, finance, and legal. Diversity & Inclusion: At Blenheim Chalcot, we re committed to creating an inclusive culture. We celebrate diversity and aim to empower all employees to achieve their full potential through equal opportunities and respect for all voices. Qualification : Bachelor's degree in a STEM field, Finance, or a quantitative discipline

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Real Assets Data Analyst Job Description About the Role As a Real Assets Data Analyst at MSCI, you will be part of our Real Assets Data team, supporting real estate performance analysts in delivering real estate indexes, performance benchmarks, and customized analysis to global asset managers and asset owners. Key Responsibilities Track and monitor commercial real estate transactions from news sources and third-party data providers. Manage a portfolio of clients and/or funds, ensuring data accuracy and alignment with methodologies. Respond to client inquiries, analyze fund data, and apply necessary corrections based on MSCI s methodologies. Deliver custom performance analyses and reports as requested by clients. Collaborate with internal teams and local market experts to maintain high data quality and client satisfaction. Contribute to assigned projects, ensuring timely delivery. Identify opportunities for process improvements and drive operational efficiencies. Apply analytical and problem-solving skills to enhance workflows and processes. Skills & Qualifications Strong foundation in accounting and finance. Proficiency in MS Excel; knowledge of VBA or Python is a plus. Experience 0-4 years of experience in financial services or a related field. Education Bachelor s degree in finance, accounting, economics, engineering, or a related field. About MSCI MSCI is a leading provider of decision-support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI empowers clients to make better investment decisions by providing insights into risk, return, and portfolio transparency. Qualification : Bachelors degree in finance, accounting, economics, engineering, or a related field.

Role: Senior Specialist - Credit Administration Function/Department: Wholesale Banking Operations Experience: 10-18 Years Education: Graduation: B.Com, B.Sc, BA, BBI, BMS Post-Graduation: MBA, M.Com, MA Job Purpose: The Senior Specialist - Credit Administration plays a critical role in post-sanction credit activities for large corporates. This role ensures compliance with credit, regulatory, legal, and product guidelines while facilitating disbursement. As a key control function, the role involves extensive due diligence, credit condition monitoring, and management of limits, covenants, collateral, and documentation to safeguard the bank s interests. Key Responsibilities: Credit Administration & Compliance: Oversee a wide range of credit products, including working capital, term loans, NCDs, investment limits, portfolio buyouts, and commercial papers for large corporate and FIG segments. Ensure credit appraisals align with internal policies and RBI regulations. Verify that all conditions precedent are met before disbursement approval. Documentation & Security Management: Ensure enforceable legal documentation as per legal guidelines, including security creation (mortgages, pledges, hypothecation, etc.). Track and manage covenants, deferrals, and compliance requirements in the system. Facilitate safe custody and retrieval of loan documents for internal and external stakeholders. Stakeholder Coordination & Process Improvement: Coordinate with business teams, legal, credit, and external partners (valuation, audit, title search) to ensure timely and high-quality deliverables. Process invoices related to credit administration activities. Support internal governance initiatives to identify process gaps and strengthen controls. Regulatory Reporting & Risk Management: Ensure accurate and timely reporting of credit-related data to internal and external stakeholders. Stay updated on RBI guidelines and regulatory reporting requirements (e.g., RBS submission). Preferred Skills & Attributes: Strong expertise in credit administration, risk management, and regulatory compliance. Hands-on experience with credit operations for large corporate banking. Knowledge of legal documentation, security creation, and credit monitoring. Ability to liaise with internal teams and external agencies to drive operational excellence. Proficiency in financial reporting and governance frameworks. Play a key role in ensuring credit risk mitigation and compliance in wholesale banking. Gain exposure to large corporate credit operations and regulatory reporting. Be part of a dynamic team driving process improvements in credit administration. If you have extensive experience in credit administration, a strong understanding of compliance frameworks, and a keen eye for risk management, we invite you to be part of our team! Qualification : Graduation: B.Com, B.Sc, BA, BBI, BMS Post-Graduation: MBA, M.Com, MA

about the role Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood