Asset Valuation Models 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

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.

Job Title: Strategy Analyst Reports To: Joint President Supply Chain & Distribution (SCD) Location: Mumbai Experience Required: 6+ Years Qualification: Engineering + MBA (Finance) or CFA Preferred Background: Finance sector, Investment Banking, Project Analysis (especially in Industrial/Specialty Chemicals, Energy, Transportation), or Corporate Strategy roles with a focus on financial decision support Role Overview: Matix is seeking a dynamic and analytical Strategy Analyst to join our corporate team in Mumbai. This full-time, on-site role is critical to supporting strategic initiatives, financial analysis, market intelligence, and competitive benchmarking. The ideal candidate will bring a blend of financial acumen, sector knowledge, and data-driven insights to support the company s long-term growth in the chemicals, fertilizers, and agri-tech sectors. Key Responsibilities: Market & Industry Research Conduct in-depth independent research and analysis on assigned sectors (chemicals, fertilizers, agri-tech, energy, etc.). Stay updated with relevant financial news, sector trends, regulatory changes, and emerging risks or opportunities. Identify and recommend strategic opportunities aligned with the organization s vision and long-term goals. Business Intelligence & Analytics Develop sector trackers and dashboards using tools like Power BI, integrating real-time competitor insights and industry benchmarks. Analyze upstream and downstream industry developments, creating actionable management information systems (MIS) and trackers. Strategic and Financial Planning Support financial modeling, forecasting, and valuation analysis for new initiatives or investment proposals. Evaluate techno-commercial viability of strategic options, including M&A opportunities, partnerships, and diversification. Work with cross-functional teams to create strategy presentations and decision-making reports for senior leadership. Stakeholder Engagement Build a network with agri-tech startups, investors, and venture capital funds to explore collaboration and investment opportunities. Support leadership in preparing for board-level discussions, strategy reviews, and market positioning exercises. Required Competencies: Functional Skills: Strong analytical and financial modeling capabilities. Deep understanding of financial markets, capital structures, and sectoral regulations. Familiarity with project finance, corporate finance, and investment evaluation methodologies. Proficiency in Microsoft Excel, PowerPoint, and Power BI for dashboards and presentations. Behavioral Traits: Highly self-motivated, initiative-driven, and capable of working independently. Excellent communication and presentation skills. Collaborative team player with the ability to influence cross-functional stakeholders. Demonstrated attention to detail, critical thinking, and problem-solving mindset. Preferred Additions: Exposure to the agriculture, fertilizer, chemical, or energy sectors. Experience working in investment banking, private equity, corporate strategy, or consulting. Previous involvement in dashboard creation, competitive intelligence, or strategic project evaluation. Qualification : Engineering + MBA (Finance)

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

Position: Management Accountant Location: Mumbai, India (Andheri East and/or Turbhe) Division: Finance Employment Type: Full-Time, Onsite About Blenheim Chalcot Blenheim Chalcot is a leading global venture builder with over 25 years of experience creating and scaling SaaS businesses powered by Generative AI. With 60+ ventures across financial services, education, health, and marketing sectors, our global ecosystem including Scale Space in London, the Rajasthan Royals in Mumbai, and a go-to-market base in Austin provides access to world-class talent, tools, and support to accelerate growth and build market-leading companies. Our Values Honesty and Integrity: Acting with transparency and trustworthiness. Resilience: Staying optimistic and adaptable amid challenges. Teamwork: Collaborating to elevate and support each other. Innovation: Constantly seeking better solutions and improvements. Deliver Results: Committing to quality and meeting promises. Commercial Awareness: Making financially sound decisions and optimizing value. Role Overview The Management Accountant will provide essential management accounting support to senior leadership, ensuring robust financial controls and compliance with company policies. This role is a platform for experienced finance professionals aiming to advance their career by managing key financial processes in a dynamic, high-growth SaaS environment. Key Responsibilities Prepare monthly management accounts including P&L, balance sheet, cash flow statements, and variance analyses within deadlines. Perform monthly revenue recognition and reconcile balance sheet accounts. Accurately report project revenues and support sales pipeline forecasting. Develop financial forecasts, including P&L and working capital, aligning with FP&A standards. Build and maintain financial models focusing on SaaS-specific metrics for forecasting, budgeting, and planning. Conduct in-depth variance analyses and deliver actionable insights to improve financial performance. Support annual budgeting processes with various departments to set challenging, realistic targets. Identify trends, risks, and opportunities from financial data, presenting clear recommendations to stakeholders. Assist with financial evaluations of new initiatives, pricing strategies, and investments. Drive continuous process and reporting improvements using technology. Ensure compliance with local GAAP, VAT, and regulatory requirements. Opportunity Join Blenheim Chalcot to influence the financial strategy of cutting-edge GenAI-enabled tech ventures. Work closely with senior leaders in India and the UK, owning full financial operations while contributing to critical business decisions in a fast-paced, evolving landscape. About You CA/ACCA/CIMA qualified. Minimum 2+ years experience in finance roles, ideally in FP&A or financial business partnering. Experience in SaaS or technology-driven companies preferred. Expert in Excel: advanced formulas, pivot tables, conditional formatting, and financial modelling. Comfortable navigating ambiguity and rapid changes typical of fast-growing SaaS businesses. Excellent stakeholder management and communication skills, able to explain complex financial info clearly. Adaptable, self-motivated, able to work under pressure and meet tight deadlines. Strong analytical mindset, with ability to convert data into meaningful business insights. Good command of professional written and spoken English. Commitment to continuous learning and development. If you re ready to elevate your finance career in an innovative, tech-driven environment, this role offers a unique and exciting opportunity to grow and make an impact. Qualification : CA/ACCA/CIMA qualified.

Senior Manager Treasury (Currency Risk, Insurance & Pensions) Location: Mumbai, Maharashtra, India Employment Type: Full-time, Permanent Experience Level: Mid-level Professional Role Overview As a Treasury Professional supporting Siemens Energy business across India, Bangladesh, Sri Lanka, Nepal & Bhutan, you will lead key treasury functions focusing on Currency Risk Management, Insurance Risk Management, and Pension Management. This role demands strong collaboration with business units, project commercial managers, and external stakeholders to safeguard the company s financial interests through effective risk mitigation, insurance governance, and pension fund oversight. Key Responsibilities Currency Risk Management Act as the first point of contact for all currency management tasks and provide risk mitigation advice to business and project commercial managers. Consolidate foreign currency exposures, review project cash flows, and coordinate hedge requests with Fx traders. Monitor hedge book positions, update hedging strategies, and advise on balance sheet exposures in line with Siemens policies. Provide monthly offer calculation rates and report foreign currency and commodity exposure to the board quarterly. Support hedge accounting application and identify embedded derivatives. Foster transparency and collaboration with internal and regional teams, driving digitalization and automation of treasury processes. Insurance Risk Management Oversee management of insurable risks and relationships with insurance service providers. Guide business units on insurance regulations, coverage optimization, and claims settlement processes. Ensure compliance with insurance regulations and alignment with group policies during risk placement and premium payments. Support quick and transparent claims settlement and avoid risks of over/underinsurance. Pension Management Monitor performance of pension asset managers and control pension funding. Assist actuarial valuation processes for pension and employee benefit plans. Qualifications & Experience Chartered Accountant and/or Master s in Business Administration from a reputed institution. 8 12 years of experience in corporate treasury/finance, especially in foreign exchange & commodity risk management and/or business commercial/project finance. Experience in Insurance and Pensions is preferred. Strong knowledge of currency & commodity markets, Indian central bank regulations, treasury and risk management, and insurance markets/regulations. Proficient in MS Office, Treasury Management Systems, SAP, and comfortable with customized IT tools. Core Competencies Excellent interpersonal and stakeholder management skills. Proven experience in process optimization with a focus on digitalization and automation. Project management experience, delivering small-scale projects beyond routine tasks. Ability to manage multiple stakeholder expectations through intense collaboration. Basic knowledge of accounting principles including hedge accounting. Qualification : Chartered Accountant and/or Masters in Business Administration from a reputed institution.

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.

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

Job Requirements Role/Job Title: Product Manager-Mutual Fund. Function/Department: Wealth, Retail Liabilities. Job Purpose: This role also involves managing relationships with business partners, AMCs, and third-party product providers ideating on product opportunities and building financial planning models. Roles & responsibilities: Onboarding of new products (MF, PMS,AIF) by way of evaluation, due diligence, suitability, commercials, sales & operational processes Relationship management with business partners, AMCs, Third Party product providers Ensure legal & compliance requirements with respect to investment products are met. Attend fund manager calls and provide input where ever necessary. Ideate on opportunities to enhance the product basket. Maintain top standards of internal and external communication. Automate Excel sheets and build models on financial planning. Collate and update Weekly/Monthly reports and presentations. Secondary Responsibilities: MIS & platform enhancements Satisfactory regulatory audits Run campaigns and assist in Investor education programs. Managerial & leadership responsibilities: Self-starter Motivated and hard-working In-depth knowledge of investment products across asset classes Skills Required: Strong knowledge on mutual funds and portfolios (PMS/AIF is a bonus) Excellent verbal and written communication Education Qualification: Post-graduation: Any Experience: 2 5 years Industry Banking/ Wealth Management / AMC Functional Area Products

Job Description: We are looking for a Murex Back Office Specialist with 3 to 7 years of experience, specializing in back-office processes and handling accounting issues. The ideal candidate will have a strong understanding of the Murex platform, particularly the Back Office (BO) stream, and possess expertise in managing post-trade processes, deal validation, nostro settlements, and accounting. As a Murex Back Office Specialist, you will be responsible for supporting key back-office functions, ensuring accurate deal validation, cashflow monitoring, settlement processing, and managing accounting configurations in the Murex platform. Responsibilities: Back Office & Accounting Management: Handle and resolve back-office and accounting issues, including managing change requests. Support with workflow handling, OSP rights, and usage for different asset classes. Business Requirements & Documentation: Prepare business requirement documents and manage developers for changes. Design layouts and pricing templates as per business requirements. Testing & Issue Resolution: Conduct test case executions, manage user testing, and implement system changes. Troubleshoot and debug issues, providing clear explanations to stakeholders. Configuration & Post-Trade Processing: Develop and configure OSP, settlement instructions, and accounting configurations for various products. Oversee deal validation, cashflow position monitoring, and nostro settlements. Reporting & Documentation: Generate reports and leverage OSP, static data, and deal bookings for testing and issue resolution. Manage confirmation and settlement documents, ensuring they are properly configured. Technical Skills & Qualifications: Capital Markets Knowledge: Strong understanding of capital markets and the trade life cycle. Murex BO Stream Knowledge: Hands-on experience with the Murex BO stream, especially in deal validation, cashflow position monitoring, nostro settlements, accounting, and OSP handling. SQL & Mx-Excel: Proficiency in SQL and Mx-Excel for testing, troubleshooting, and reporting. Post-Trade Rules & Configuration: Understanding of post-trade rules, document generation, and Swift/RTGS settlements in Murex. Asset Classes: Exposure to major asset classes and an understanding of how Murex handles these processes. Experience: 3 to 7 years of hands-on experience working with Murex in back-office processes. Proficiency in settlements, accounting, and configuration management in Murex. Experience with OSP, settlement instructions, and accounting configurations for various products. Synechron s Diversity & Inclusion Statement: Diversity and Inclusion are integral to Synechron's culture. We foster an environment where everyone is respected and valued. As an equal-opportunity employer, we encourage applicants from all backgrounds to apply. We are committed to ensuring our workforce is diverse, offering flexible work arrangements, internal mobility, and opportunities for development.

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.

Roles & Responsibilities: Leadership & Team Management Lead diverse, cross-disciplinary teams comprising Civil, Electrical, and Structural Engineers, along with Managers from Substation, Transmission, and Distribution businesses for both domestic and international projects. Motivate and mentor the team, assessing capabilities, identifying skill gaps, and organizing training programs to enhance skills and build competencies. Engineering Support & Execution Provide comprehensive engineering support to the Project Management group, including basic design, inter-disciplinary coordination, detailed engineering calculations, preparation of drawings, and obtaining client consultant approvals. Manage the preparation of technical specifications, bid evaluation, vendor document reviews, and overall engineering documentation throughout the project lifecycle. Monitor daily design progress and ensure adherence to project timelines, resolving bottlenecks and tracking status through regular reviews and reporting. Execute complex design requirements, troubleshoot technical challenges, and serve as the technical expert for client interfaces in complex designs. Pre-Bid Engineering & Value Engineering Offer pre-bid engineering support to the Business Development group, driving scope evaluation and quantification. Appoint and manage external engineering consultants as required, reviewing and validating their designs. Identify and implement value engineering initiatives to improve project margins and win ratios. Coordination & Client Engagement Ensure effective coordination with internal stakeholders (procurement and construction teams) for consistent understanding of technical requirements. Liaise with external stakeholders, including clients, consultants, and regulatory authorities, to secure mandatory approvals and meet project deliverables. Project Design Review & BIM Implementation Organize and participate in project design reviews and technical meetings to evaluate progress and mitigate risks. Develop and implement BIM (Building Information Modeling) capabilities for railway and substation projects to streamline design processes. Finalize design checklists and monitor design progress across the entire Transmission & Distribution business. Documentation & Reporting Review and finalize management reports, presenting key achievements, issues, and action plans to leadership. Oversee preparation of engineering BOQs, identify risks and opportunities, and contribute to the bidding strategy for enhanced project outcomes. Key Performance Areas: Timely execution of engineering deliverables as per project schedules. Successful coordination with clients and stakeholders for approvals and deliverables. Implementation of value engineering strategies to enhance project margins. Development and integration of advanced design processes like BIM to improve efficiency and quality.

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.

Job Profile The candidate will be working on multiple projects within the industry & infrastructure sector. The responsibilities of the role will include, but not be limited to Assessment / preparation of techno-economic feasibility of projects Preparation of detailed project reports Preparation of technical specifications Financial modelling/Analysis Business Analysis Technical due diligence Site selection/ visit Fixed asset valuation Market research Business re-structuring In doing so, thecandidate will have to interface with various stakeholders - both internal and external to ensure timely & satisfactory deliveries consistent with clients' expectations as well as Mott MacDonald standards, ensuring commercial success of the assignments. Desired Qualification and Experience This is a mid-senior role in advisory team. As a result, the ideal candidate will need to demonstrate the following skills and experience: Minimum of2-4 years experience within themanufacturing unit or industrial developmentprojects; (chemical and metal) Strong understanding of Industrial & Infrastructure sector covering manufacturing process and procurement process; Should have 1-2 years hand-on experience in Project Finance or Investment banking sector; Possess excellent English oral and written communication skills. An understanding offinance with experience in core engineering projects would be advantageous. Demonstrable business management and development skills will be added advantage; Familiar and proficient with project management process; Possess a recognized graduate degree inengineering & post-graduate educational degree in finance or CFA or CA; Familiar with construction role and sites in multiple sectors (industry & infrastructure); and, Positive attitude, team player. Flexible to work away from your home office and travel within and outside India Fluency in English, excellent communication and report writing skills Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Qualification : Possess a recognized graduate degree in engineering & post-graduate educational degree in finance or CFA or CA;