Model Evaluation Jobs in Mumbai

GM-Research Analyst Location: Mumbai Skill Category: Global Markets Work Type: Full-Time Company Overview Nomura is an Asia-headquartered financial services group with a global network spanning over 30 countries. The firm connects markets East & West and serves individuals, institutions, corporates, and governments through Retail, Asset Management, Wholesale (Global Markets and Investment Banking), and Merchant Banking divisions. Founded in 1925, Nomura is built on a tradition of disciplined entrepreneurship and delivers clients innovative solutions and considered thought leadership. Nomura Services India (Powai) supports global operations in trading, research, IT, financial control, operations, risk management, and legal support. Powai is critical to Nomura s global expansion and operational excellence. Division Overview The Global Markets Division handles client transactions for financial institutions, corporates, governments, and investment funds worldwide. It trades in fixed income, equity securities, currencies, interest rates, and credit products, including cash, derivatives, and structured products. Nomura Research provides high-quality intellectual capital, covering Company Analysis, Quantitative Research, Corporate Access, and Equity Strategy. The India Equity Research team (Powai, Mumbai) is part of the Global Research Division. It focuses on fundamental research of companies and equity strategy research across Asia. The team aims to be a top-3 provider of research for the firm s key institutional and hedge fund clients. Position Specifications Corporate Title: Analyst Functional Title: Analyst Experience: 1 3 years Qualification: Degree in Finance / CA / MBA or Engineering from a reputed institute. CFA is a plus. Role & Responsibilities Support senior analysts in India Equity Research team. Build and maintain earnings and valuation models based on company financial statements. Assist in initiating coverage on companies in new and emerging sectors. Track and report news/events on coverage names; maintain industry/company databases. Contribute to writing research reports or sections thereof. Build marketing presentations under senior analyst guidance. Interact with internal stakeholders such as Nomura sales & traders. Monitor regional and global news flow impacting covered equities. Gain knowledge of financial market workings, contributing to professional growth. Key Skills & Competencies Strong understanding of accounting, financial statement analysis, and security valuation. Excellent academic record and analytical skills. Strong communication skills (written and oral) with attention to detail. Understanding of equity markets and ability to formulate logical views. Ability to work under pressure, multitask, and meet deadlines. Advanced proficiency in MS Excel and PowerPoint; Bloomberg experience is advantageous. Research writing skills are a plus. Why Join Nomura This role provides exposure to India equity markets, hands-on experience in fundamental research, and the opportunity to work with a globally integrated research team. Qualification : Degree in Finance / CA / MBA or Engineering from a reputed institute

Job Title: Manager Investor Relations Location: Mumbai Experience: 12+ Years Role Overview: We are seeking a seasoned Investor Relations professional to lead the development and execution of our investor engagement and fundraising strategies. The ideal candidate will play a critical role in shaping the company's public image, enhancing investor confidence, and supporting capital market activities. Key Responsibilities: Investor Strategy & Communication: Develop and execute a comprehensive investor relations strategy to effectively communicate the company s financial health, business outlook, and long-term vision to investors, analysts, and stakeholders. Relationship Management: Act as the primary liaison for investors and analysts. Manage inquiries, provide regular updates, and cultivate strong relationships to build investor trust and confidence. Investor Events: Lead the organization of investor-facing events such as earnings calls, roadshows, investor conferences, and one-on-one meetings, ensuring consistent and compelling communication of the company s narrative. Cross-functional Collaboration: Work closely with senior leadership, finance, legal, and communications teams to ensure alignment in messaging, financial disclosures, and regulatory compliance. Market & Competitor Analysis: Monitor capital market trends, peer performance, and investor sentiment to deliver actionable insights and inform strategic decision-making. Investor Communication Materials: Oversee the creation of investor-focused content such as press releases, presentations, annual reports, and regulatory filings. Ensure all communications are accurate, consistent, and compliant with industry regulations. Fundraising & Capital Markets: Drive fundraising initiatives including Qualified Institutional Placements (QIPs) and secondary offerings. Manage the full process from planning and documentation to execution and post-transaction communication. Stakeholder Coordination: Liaise with investment banks, legal advisors, and other external stakeholders to support capital raising and optimize capital structure decisions. Business & Industry Expertise: Maintain a deep understanding of the company s operations, financials, and the broader real estate market to effectively address investor queries and provide strategic insights. Continuous Improvement: Stay current with best practices, industry benchmarks, and regulatory developments to enhance the efficiency and effectiveness of the investor relations function. Qualifications: Bachelor s degree in Finance, Business, Economics, or a related field; MBA or CFA is highly desirable. 12 15 years of experience in investor relations, corporate finance, investment banking, or capital markets, preferably within the real estate sector. Proven success in fundraising through QIPs and secondary market offerings, with strong knowledge of capital markets and investor expectations. Deep financial acumen with the ability to analyze and interpret complex financial data and valuation models. Exceptional verbal and written communication skills; ability to simplify complex financial information for varied audiences. Strategic thinker with strong analytical skills and a proactive, solution-oriented mindset. Proven ability to manage multiple projects, meet deadlines, and thrive in a dynamic, high-pressure environment. Demonstrated leadership and team collaboration abilities. High standards of integrity, ethics, and professionalism with a strong commitment to transparency and compliance. Qualification : Bachelors degree in Finance, Business, Economics, or a related field; MBA or CFA is highly desirable

Position: Equity Research Associate (AMC) Location: Mumbai About Groww Mutual Fund Who We Are: Groww Mutual Fund, formerly known as Indiabulls Mutual Fund, is dedicated to providing mutual fund schemes that cater to a wide variety of investor needs. We operate with a strong focus on simplicity, transparency, and long-term wealth creation, always placing our investors at the center of everything we do. With the robust backing of Groww Invest-Tech Private Limited, our diverse portfolio includes equity funds, hybrid funds, and debt funds, all designed to capture investment opportunities that balance growth potential with solid fundamentals. Our Mission Our primary mission is to create steady, long-term wealth for our investors. Through diligent research and careful planning, we discover and develop innovative schemes that allow our investors to harness the best wealth-building opportunities available. What We Stand For Simplicity and Transparency: Clear, jargon-free communication to help our investors make informed decisions. Consistent Wealth Creation: A focus on selecting securities that consistently compound returns, helping investors realize their financial goals. Customer Centricity: Products and resources tailored to meet investors financial objectives, with a commitment to superior service and support. Innovation: Continuously evolving to redefine wealth management with innovative schemes that cater to diverse risk appetites, timelines, and liquidity needs. About the Role As an Equity Research Associate, you will play a pivotal role in providing high-quality, objective investment research to support the fund management team s decision-making process. You will analyze sector trends, financial data, and emerging opportunities to deliver timely and actionable investment recommendations. Your expertise in fundamental analysis and financial modeling, combined with the ability to track industry developments, will help the team identify key trends and investment opportunities, ultimately contributing to the generation of alpha. The role is ideal for candidates with a solid understanding of financial markets and those looking to scale their skills toward future fund management responsibilities. Key Responsibilities: Financial Analysis: Create and maintain earnings, valuation, and industry models for your assigned sectors. Research & Identification: Analyze data to uncover emerging investment opportunities and risks. Investment Ideas: Generate actionable buy/sell recommendations to drive alpha for the portfolio. Documentation & Reporting: Maintain detailed documentation on sector developments, industry news, and trends. Provide timely insights to the team. Primary Research: Devise and conduct primary research methods, keeping a pulse on sector sentiment, emerging trends, and key market shifts. Collaboration: Actively contribute to team discussions, providing timely insights and support in investment decision-making. Qualifications & Expertise: Educational Background: Master s degree in Finance, Economics, or CA. Experience: 1-3 years of relevant experience in equity research or financial analysis. Sector Expertise: Strong understanding of the assigned sector(s) with a deep knowledge of fundamental analysis, financial modeling, and valuation techniques. Certifications (Preferred): CFA, CA, FRM, or MBA is a plus. Analytical Skills: Strong proficiency in financial analysis, model-building, and interpretation of data. Execution & Teamwork: A self-starter with the ability to work independently while being an effective team player. Impact: Play a crucial role in shaping investment strategies and decisions at Groww. Growth: Opportunities to expand your skill set and grow toward future fund management roles. Innovation: Be part of an innovative, customer-first team redefining wealth management. Culture: Join a dynamic, fast-growing company where collaboration, transparency, and continuous learning are at the forefront. If you re passionate about equity research and eager to contribute to the success of India s fastest-growing mutual fund platform, we d love to hear from you. Qualification : Masters degree in Finance, Economics, or CA

Principal Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring a Principal Engineer to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Principal Engineers and Lead Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across Blenheim Chalcot portfolio businesses. These are great opportunities for someone who thrives in hands-on build mode, demonstrates high-impact leadership, and who can scale delivery without losing speed, quality, or ownership. As a key member of our Software Engineering team, you will be instrumental in leading, designing, developing, and deploying robust and scalable products. You will work in close collaboration with customers and cross functional teams in Mumbai and London, to deliver product-led delivery and solutions that really make a difference. Behaviours that we look for Rigorous problem-solving and systems thinking. Decomposes complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures. Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start. Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring. Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery. Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact. Key responsibilities Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include: Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effective solutions. Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. Conduct exploratory data analysis to uncover patterns and trends. Identify opportunities for process improvement and drive continuous improvement in operations. Stay updated on industry trends, technologies, and best practices in engineering. Opportunity This role offers an excellent platform for experienced engineers to take their career to the next level. You will have the opportunity to make a significant impact on our product roadmap, contribute to scaling our technical capabilities, and work in a dynamic environment that values innovation and continuous learning. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate Professional experience in engineering or full-stack software engineering. Proven experience in managing and developing junior engineers. Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java. Extensive experience with database systems, including SQL and NoSQL databases. In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.). Experience with CI/CD practices for data solutions. Proven ability to take ownership over outputs and drive complex data projects to completion. Highly adaptable and comfortable working in ambiguous, problem-solving environments. Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales. Excellent communication, leadership, and collaboration skills. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

Job Description Key Responsibilities: Anchors change management around areas of Vision, Mission, and Strategy Performance analytics: Partner standards publication, Practice & Partner dashboard / metrics evolution, productivity roadmaps, external comparability Performance alignment: strategic cascade to functions and practices, Director and Partner scorecards, facilitate performance conversations for leaders. Team effectiveness: collaboration accelerating training for top team groups such Executive Committee, Management Committee and other Practice Leadership Teams Organisation model for allied functions function charters, job families, grade structure, and individual transition Accelerate partner development: yearly talent review, development plan completion, detailed career plans for 20 partners. Scientific assessment for specific leadership roles such as Practice Coordinators and Office Managers Driving a Visible Expertise program for Partners to own and strengthen their external eminence. Governance model for the firm purpose, membership, and design rights for apex bodies such as Executive Committee and Management Committee Essential Competencies: Leadership Competencies: Leading Up: Understand expectations from Partnership Board and National Managing Partner Leading Across: Build alignment between CFO, CHRO and MPO through policy advocacy Leading Externally: Build relationships outside the organisation, to accelerate institutional excellence Leading Self: Interpersonal skills with Partners and Allied Leaders are essential for success. Behavioural Competencies: Thinking Strategically Driving Change Functional Competencies Organisational Effectiveness Leadership Assessment and Development Education & Experience: MBA in HR with 6-9 Years of Experience; Graduates with exceptional experience in C-o-E / Talent Consulting are welcome to apply. Experience in Talent and Organisation Consulting is an advantage. Exposure to C-o-E roles in Leadership Development and Organisational Effectiveness. Exposure to strategic HR projects likes Organisation Structure Design, Job Evaluation, and Leadership Scorecards is a huge advantage. Executive presence, prior experience of engaging with Senior Leaders.

Position: Senior Sales Executive (PSU IT Solutions) Location: Mumbai, Delhi Employment Type: Full-Time, Permanent Mode of Work: Initial period WFH/Field work from their location (Except Mumbai Location) About Swan Solutions: Swan Solutions is a rapidly growing IT infrastructure service provider with a turnover of 500 Crore, headquartered in Mumbai. Founded 33 years ago by Mr. Mohammed Sutarwala, Swan has built a reputation in the IT hardware and networking space, offering solutions to BFSI, PSU, SMBs, and corporate houses. Swan partners with leading global companies like HP, Cisco, Microsoft, Ice Warp, and Fluid AI. Our key clients include SBI, SBI MF, and ICICI. Culture at Swan: Swan s culture fosters innovation, accountability, and collaboration. We take on inspiring IT projects, encourage creativity, and celebrate the people who make ideas come to life. Our open-door culture ensures everyone has the opportunity to contribute to the transformation of ideas into actionable solutions. Members of the Swan team are described as accountable, vibrant, independent, and impactful. Key Responsibilities: Business Development Identify and target potential PSU customers across various sectors such as energy, telecommunications, banking, and infrastructure. Develop and execute strategic sales plans to penetrate PSU market segments. Build and maintain strong relationships with key decision-makers in PSU organizations. Sales Strategy Conduct in-depth market research on PSU IT spending and technological requirements. Develop tailored IT solution proposals addressing the specific needs of PSU organizations. Create comprehensive presentation decks and technical documentation. Prepare competitive bid responses and ensure technical compliance with RFPs. Sales Execution Manage the entire sales cycle, from lead generation to contract closure. Negotiate complex, high-value IT solutions and service contracts. Develop and maintain a robust sales pipeline. Meet or exceed quarterly and annual sales targets. Collaborate with pre-sales and technical teams to design customized solutions. Customer Engagement Provide a consultative selling approach to understand PSU customers' digital transformation challenges. Conduct technical presentations and demonstrations. Offer post-sales support and ensure customer satisfaction. Manage long-term customer relationships and identify upselling opportunities. Compliance and Documentation Ensure compliance with government procurement guidelines and tender processes. Maintain accurate sales records and customer interaction documentation. Prepare detailed sales reports and forecasts. Navigate complex PSU procurement procedures. Tender and RFP Management Proactively track PSU tender and RFP opportunities across various sectors. Maintain a comprehensive database of upcoming and active tenders. Develop expertise in tender classification and evaluation criteria. Ensure strict adherence to government procurement guidelines and statutory compliance norms. Tender Response Strategy Analyze RFP/tender requirements and develop precise, compliant, and competitive tender responses. Coordinate with internal teams to craft technical specifications, pricing strategies, and bid documents. Prepare comprehensive bid documents that meet all technical, commercial, and legal requirements. Stakeholder Engagement Build and maintain relationships with PSU procurement departments and tender evaluation committees. Conduct follow-up and clarification meetings, and manage post-tender communication and negotiation processes. Competitive Intelligence Monitor competitor tender responses and analyze winning bid strategies. Stay updated on emerging technologies relevant to PSU procurement. Develop insights into PSU technological transformation priorities. Qualifications: Education: Bachelor s degree in Engineering, Computer Science, or Business Administration. Experience: 4-6 years of experience, with at least 3 years in enterprise IT sales, preferably with exposure to the PSU sector. Proven track record of successful B2G (Business to Government) sales. Strong understanding of IT infrastructure, cloud solutions, cybersecurity, and digital transformation technologies. Excellent communication and negotiation skills in English and Hindi. Required Skills: Deep knowledge of PSU procurement processes. Strong networking and relationship-building capabilities. Strategic thinking and solution-selling approach. Ability to work in a target-driven environment. Proficient in CRM tools and sales management software. Excellent written and verbal communication skills. Attention to detail, especially with tender specifications. Strong analytical and problem-solving capabilities. Ability to work under strict deadlines. Proficiency in preparing persuasive technical documentation. Technical Competencies: Extensive knowledge of government e-procurement portals (GeM, CPPP). Tender evaluation processes and bid management software. Experience in preparing technical and commercial bid proposals. Technology Focus Areas: IT Infrastructure Solutions Cloud Computing Cybersecurity Digital Transformation Technologies Enterprise Software Solutions Network and Communication Systems Key Performance Indicators (KPIs): Number of tenders participated in. Tender win rate. Total contract value of won tenders. Compliance score in tender submissions. Revenue generated through tender routes. Compensation: Performance Bonus: 100-300% of base salary (based on the number and value of tenders won). Qualification : Bachelors degree in Engineering, Computer Science, or Business Administration.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Business Function: Priority Sector Lending (PSL) Priority Sector Lending (PSL) is a key vertical that manages lending activities mandated by the Reserve Bank of India (RBI) for specific sectors critical to national development. These sectors include agriculture, micro and small enterprises, housing, education, and renewable energy. At DBS, PSL targets are achieved through multiple avenues such as MFI & NBFC on-lending, PTCs (Pass-Through Certificates), Direct Assignment, and Co-lending, alongside organic business models like gold loans, SME lending, Loan Against Property (LAP), and affordable housing finance. Key Responsibilities System Evaluation and Model Development: Evaluate existing and emerging Loan Origination Systems (LOS) and Loan Management Systems (LMS) to determine the most suitable model for DBS, considering industry best practices and new technology trends. Application & System Understanding: Gain in-depth knowledge of DBS s core banking systems and downstream applications to align business requirements with technical solutions. Stakeholder Coordination: Collaborate with in-house tech teams and external IT vendors to communicate business requirements and develop required product functionalities. Technology Model Finalization: Lead the design and finalization of the technology model, integrating multiple existing IT applications and evaluating the need for new systems or interfaces with partner setups. Project Execution & Delivery: Drive internal DBS tech teams and vendor teams toward efficient and cost-effective implementation of the agreed solutions. User Acceptance Testing (UAT): Perform UAT, ensuring thorough end-to-end testing, progress monitoring, and post-go-live support. Escrow Account & Payout Process: Supervise the payout process, reconcile escrow bank accounts, and coordinate with internal teams to ensure smooth operations. Travel Requirement: Be open to travel within India as per organizational requirements. Required Experience & Skills Strong organizational skills with the ability to manage multiple tasks and priorities simultaneously. Excellent written and verbal communication skills to coordinate with various stakeholders and teams. Experience in financial services technology, particularly in LOS/LMS systems, will be a significant advantage. Familiarity with PSL lending models, regulatory requirements, and working with external tech vendors is desirable.

Job Description: The candidate will be responsible for conducting business valuations for various purposes, including mergers and acquisitions (M&A), tax and financial reporting, FEMA, SEBI compliance, shareholder disputes, and management planning. The role involves report generation, financial modeling, and supervising junior staff while ensuring accurate and high-quality deliverables. Candidates with prior experience in business valuation, financial assets, brand goodwill, equity, ESOPs, and financial instruments will be preferred. Key Responsibilities: Perform valuations for business transactions, financial reporting, tax compliance, and other strategic purposes. Identify issues and propose strategies related to valuation procedures. Build detailed financial models and contribute to report generation. Supervise, mentor, and train junior staff, ensuring tasks are effectively delegated and guidance is provided. Review work completed by team members to ensure accuracy and adherence to processes. Stay updated on business and economic developments relevant to client operations. Demonstrate teamwork and collaborate effectively with engagement team members. Leverage current technology and tools to improve service efficiency. Skills & Requirements: Strong analytical and numerical skills. Advanced proficiency in Excel for financial modeling. Problem-solving and decision-making abilities. Excellent time management and organizational skills. Strong verbal and written communication skills. Ability to manage multiple priorities in a fast-paced environment. Qualification: MBA (Finance), Chartered Accountant (CA), or Cost & Management Accountant (CMA) Experience: 3 5 years post-qualification experience in business valuation or related areas Location: Ahmedabad, Mumbai, Delhi (NCR) Salary: As per industry standards Qualification : MBA (Finance), Chartered Accountant (CA), or Cost & Management Accountant (CMA)

Job Description We are seeking a Real Assets Data Analyst to join the Real Assets Data team at MSCI. This role involves providing performance analysis, reports, and custom analysis for global real estate asset managers and owners. You will also be responsible for tracking commercial real estate transactions and working closely with internal teams to deliver data insights and improvements to processes. Your Key Responsibilities Real Estate Performance Analysis: Work with a team of real estate analysts to provide benchmarks, performance analysis reports, and bespoke analysis for real estate asset managers and owners. Client Portfolio Management: Manage a portfolio of clients/funds, addressing client queries, analyzing data, and amending in accordance with data methodologies. Bespoke Analysis: Provide customized analysis as requested by clients to meet specific needs. Relationship Management: Build and maintain strong relationships with both internal teams and local market teams to ensure effective collaboration and service delivery. Project Delivery: Participate in assigned projects and ensure timely delivery based on project milestones. Process Improvement: Drive efficiency by identifying opportunities for process improvements and workflow automation. Problem-Solving: Apply strong problem-solving skills to enhance processes and identify innovative ways to improve data analysis and reporting. Skills and Experience That Will Help You Excel 1. Financial Knowledge: Strong understanding of accounting and finance fundamentals is essential. 2. Technical Skills: Proficient in MS Excel (required), with additional knowledge of VBA/Python being a plus. 3. Experience: 0-4 years of work experience in the financial services industry. 4. Education: Bachelor's degree in finance, engineering, or a related discipline. A management degree is a plus. 5. Additional Skills: Foreign language fluency is a plus but not mandatory. What We Offer Compensation & Benefits: Competitive salary with transparent compensation schemes and comprehensive benefits tailored to your location. Work Flexibility: Flexible working arrangements with access to advanced technology and collaborative workspaces. Professional Development: Access to Learning@MSCI, LinkedIn Learning Pro, and other tailored learning opportunities for continuous growth. Career Growth: Opportunities for career advancement and internal mobility within the organization. Inclusive Culture: A culture that promotes inclusion, belonging, and collaboration, supported by Employee Resource Groups such as Women in Tech and Pride & Allies. Global Impact: Work in a global network of talented professionals who are committed to delivering innovative solutions to drive better investment decisions. Equal Opportunity MSCI is an equal opportunity employer committed to creating a diverse workforce. We believe in an inclusive environment free from discrimination or harassment based on race, color, religion, gender, gender identity, sexual orientation, disability, or other protected characteristics. MSCI is also committed to providing reasonable accommodations for individuals with disabilities throughout the application process. Qualification : Bachelor's degree in finance, engineering, or a related discipline.

Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.

Role Summary We are currently seeking a talented Data Scientist specializing in Campaign Effectiveness Analysis to join our dynamic team. The ideal candidate will be instrumental in advanced modeling, twinning, imputation, and analytics, focusing on supporting Campaign Effectiveness accounts and projects. Key Responsibilities Conduct causal inference, including hierarchical modeling, difference-in-differences, and using controls, with expertise in longitudinal design. Apply Machine Learning skills for imputation and quick drivers analyses. Familiarity with Campaign Effectiveness data and database, including an understanding of the unique methodologies required for this design. Execute modeling tasks in R for complex analyses. Utilize SPSS for ad hoc exploratory data analysis. Proficient in SQL for data retrieval, manipulation, and database creation across multiple studies. Perform static annual norms calculations efficiently, with knowledge of post-curve completion code. Contribute to institutional knowledge regarding normative standards, cleanup processes, and consequences. Execute data pulls for curves using SQL, ensuring alignment with normative standards. Manage years of curves in an R-based application involving thousands of curves. Join curves to an adjustment file through modeling. Conduct all procedures and cleaning in R, recognizing the time-intensive nature of replicating processes. Qualifications Education: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, or related field. Competencies Desired Proven experience as a Data Scientist, preferably in Campaign Effectiveness or Market Research domain. Expertise in causal inference, machine learning, and SQL. Proficiency in advanced R program for modeling and analytics. Experience with SPSS for data exploration. Strong understanding of data governance and database management. Qualification : Bachelors or advanced degree in Data Science, Statistics, Computer Science, or related field.

Analyst Energy Deals Desk Location: Mumbai Employment Type: Full-time Role Summary The Analyst Energy Deals Desk is responsible for monitoring, reporting, and analyzing trading positions, P&L, and volumetric exposures for physical and derivative energy markets. This role ensures accurate trade economics, supports hedging decisions, and provides high-level commentary for management and trading teams. Key Responsibilities Position & P&L Reporting: Produce daily trading positions, management P&L, and volumetric exposure reports. Trade Lifecycle Management: Enter inception P&L for new strategies and maintain economics throughout the lifecycle; validate and justify strategy economics independently. Market Valuation: Apply daily forward curves for physical and derivative markets and explain their impact on trading P&L. Management Commentary: Prepare daily reports for the Board of Directors and traders, explaining P&L fluctuations due to market shifts or trade estimates. Exposure Analysis: Analyze Mark-to-Market (M2M) P&L and ensure all market price risks are captured and hedged appropriately. Data Integrity: Maintain full responsibility for the integrity of trading system data used in all reporting and analysis. Strategy Support: Assess implications of future physical deliveries and create ad-hoc reports to support hedging strategies. Knowledge, Skills & Abilities Education: MBA in Finance; an Engineering degree is highly desirable. Experience: 1 5 years of relevant work experience, preferably in energy trading or risk management. Technical Skills: Strong analytical skills and high proficiency in MS Excel and multiple trading systems. Communication: Excellent English communication skills to deliver precise market commentary. Attributes: Ability to work meticulously under pressure in a fast-paced trading environment. Qualification : MBA in Finance an Engineering degree is highly desirable

Procurement Team Lead Location: Mumbai Work Type: Full-Time About Ninjacart At Ninjacart, we re reimagining how India s agri-supply chain works. As the country s leading agri-platform, we harness the power of technology, data, and innovation to organize and optimize the movement of fresh produce from farms to consumers plates. Over the past six years, our made-for-India technology and India-first solutions have disrupted traditional systems, empowering farmers, traders, and retailers while creating efficiency, transparency, and fairness across the agri commerce ecosystem. Our mission is to build the digital network for global agri commerce, solving challenges like information asymmetry, payment inefficiencies, and distribution gaps while helping buyers and sellers discover each other seamlessly. Backed by Walmart Group, Tiger Global, Accel, Syngenta, and other world-class investors, Ninjacart has raised over $350 million and is proudly recognized among Top 25 Startups to Work For. At Ninjacart, we re a high-energy, results-driven community that values ownership, innovation, and collaboration. We move fast, think big, and solve real problems at scale. About the Role As a Procurement Team Lead, you ll play a key role in ensuring product availability, optimizing cost structures, and building long-term vendor relationships. You will manage sourcing, planning, and procurement strategies that drive profitability, minimize waste, and ensure high service levels across categories. Key Responsibilities Supply Planning & Inventory Management: Ensure 100% fill rates for assigned SKUs by identifying reliable supply sources, monitoring stock levels, and maintaining optimal inventory with minimal wastage. Cost Optimization: Track and analyze price trends across markets to inform sourcing decisions. Identify and implement cost-saving initiatives to improve margins across the supply chain. Vendor Management: Identify, onboard, and manage vendors through effective price negotiations, reconciliations, and credit cycle management. Monitor vendor performance, develop scorecards, and build long-term partnerships to strengthen loyalty and performance. Stakeholder Collaboration: Work closely with Category, Supply Chain, Finance, and Quality teams to ensure seamless coordination and timely decision-making across functions. 2+ years of experience in vendor management, preferably in Fruits & Vegetables (F&V), Grocery, or E-commerce sectors. Bachelor s degree in Engineering from a Tier 2, 3, or 4 institution. Strong negotiation, pitching, and problem-solving skills with a sharp business acumen. Highly self-motivated, agile, and adaptable in a fast-paced, evolving environment. Strong interpersonal skills and a data-driven approach to decision-making. At Ninjacart, you don t just work you create impact at scale. You ll have the autonomy to lead, the platform to innovate, and the opportunity to make a difference in one of India s most vital industries. Be a Ninja. Power the future of agri-commerce. Qualification : Bachelors degree in Engineering from a Tier 2, 3, or 4 institution

UX Designer Location: Mumbai Experience: 0 3 years Company: KredX About KredX Founded in 2015, KredX has evolved from solving working capital challenges into India s leading integrated supply chain finance platform. Backed by RBI s TReDS license and IFSCA s ITFS license, we are one of the few dual-licensed entities in India empowering domestic and cross-border trade through innovative, technology-driven financial solutions. Our suite of products includes: DTX (Domestic Trade Exchange): RBI-licensed platform for seamless MSME invoice discounting. GTX (Global Trade Exchange): IFSCA-licensed platform offering efficient cross-border trade financing. CMS (Cash Management Solutions): AI-powered platform for automating and optimizing enterprise finance operations. About the Role We are looking for a creative, detail-oriented UX Designer to join our product team. This is an excellent opportunity for early-career designers who are passionate about user-centric design, digital problem-solving, and crafting intuitive experiences. You'll work closely with product managers, engineers, and business teams to build seamless and impactful interfaces across our fintech platforms. Key Responsibilities Collaborate with product and engineering teams to design clean, user-friendly digital experiences. Convert product requirements into wireframes, interactive prototypes, and detailed user flows. Conduct user research, gather feedback, and run usability tests to inform design decisions. Maintain design consistency across platforms by following established design systems and brand guidelines. Balance user needs with business goals while crafting intuitive, functional designs. Stay current on UX/UI best practices, tools, and emerging industry trends. Requirements 0 3 years of experience as a UX/UI Designer, Interaction Designer, or similar role (internships, freelance, or academic projects welcome). A strong portfolio demonstrating your design thinking and problem-solving approach. Proficiency in modern design and prototyping tools such as Figma, Sketch, Adobe XD, InVision, etc. Basic understanding of user research, usability principles, and responsive design. Excellent collaboration and communication skills. Creative mindset with strong attention to detail and a passion for learning and growing. Nice to Have (Optional) Familiarity with HTML/CSS/React for better design handoffs. Experience with motion/interaction design tools or libraries. Awareness of accessibility standards and inclusive design principles. Contribute to building impactful fintech products that support global trade and finance. Collaborate with a passionate, cross-functional team in a fast-paced environment. Be part of a growing company at the intersection of design, technology, and finance. Access continuous learning and growth opportunities in a design-mature ecosystem.

Equity Research Analyst Location: Mumbai Experience Required: 2 - 3 Years Employment Type: Full Time Role & Responsibilities: Conduct detailed quantitative and qualitative analysis of investment proposals. Stay updated on industry trends and market developments related to assigned sectors. Develop and maintain financial models to support investment decisions. Prepare well-researched reports and presentations for internal and external stakeholders. Track corporate announcements, policy changes, and assess their impact on equities and portfolio performance. Monitor investee companies through media updates, financial results, and corporate disclosures. Participate actively in research team meetings and discussions. Be willing to travel for factory visits, management meetings, and industry conferences. Key Requirements: A natural curiosity and willingness to work both hard and smart. Strong conceptual understanding of technical terms, macroeconomic issues, and market dynamics. Aptitude for analyzing financial data, strategic challenges, and trends affecting companies and industries on both regional and global scales. Proficient in Excel and PowerPoint, with experience in financial modeling and valuation techniques. Solid foundation in accounting and investing concepts. Excellent written and verbal communication skills, with the ability to present and defend research findings confidently. Qualifications: Educational background in any field is acceptable. CFA certification is a plus. Demonstrated proficiency in financial modeling and analysis.

Quantity Surveyor Tendering Location: Mumbai Experience: 8 10 Years Qualification: Diploma / B.E. in Civil Engineering Employment Type: Full-Time About the Role We are seeking an experienced Quantity Surveyor Tendering to join our team in Mumbai. The ideal candidate will have a strong background in civil engineering with hands-on experience in quantity take-offs, cost estimation, tender preparation, and contract analysis. This is a critical role that contributes directly to the success of project bidding and procurement. Key Responsibilities Tendering & Estimation: Prepare detailed quantity take-offs and cost estimates based on drawings, BOQs, and project specifications. Analyze tender documents, drawings, and specifications to determine scope of work and materials required. Develop rate analysis and pricing strategies for civil works and infrastructure projects. Collaborate with procurement teams to obtain competitive pricing from vendors and subcontractors. Documentation & Submission: Prepare complete tender documentation including technical and commercial bids. Ensure accurate and timely submission of tenders and pre-qualification documents. Coordinate with design and engineering teams to resolve technical clarifications during the bidding process. Cost & Risk Management: Identify and assess cost-related risks and propose mitigation strategies. Monitor market trends and price fluctuations to ensure competitive and profitable pricing. Evaluate project cash flow projections and advise management accordingly. Client & Stakeholder Coordination: Interact with clients, consultants, and vendors during the bidding phase for clarifications and negotiations. Participate in post-bid reviews and debriefs to gather insights for future tenders. Required Skills & Competencies Proven experience in quantity surveying and tendering within the civil engineering domain. Strong knowledge of construction methods, materials, and applicable codes. Proficient in estimation and costing software such as AutoCAD, MS Excel, and quantity surveying tools. Excellent analytical, numerical, and problem-solving skills. Strong communication and interpersonal abilities for cross-functional coordination. Ability to work under tight deadlines with a high degree of accuracy and efficiency. Preferred Attributes Experience in infrastructure, industrial, or commercial civil projects. Understanding of local regulatory and tendering practices. Knowledge of contract types (EPC, Turnkey, Item Rate, etc.). Join Us If you are detail-oriented, driven by deadlines, and have a passion for precision in project estimation and tendering, we d love to hear from you. Apply now and be part of a team shaping the infrastructure of tomorrow. Qualification : Diploma / B.E. in Civil Engineering