Associate/ Senior Associate - Data Strategist - Fixed Income Division job opportunity at Morgan Stanley.

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DateMore Than 30 Days Ago bot
Morgan Stanley Associate/ Senior Associate - Data Strategist - Fixed Income Division
Experience: 4-years
Pattern: full-time
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degreeAssociate
loacation Mumbai, India, India
loacation Mumbai, India....India

Division: Fixed Income Division Job Title: Data Strategist Location: Mumbai Job Level: Associate/Senior Associate Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Department Profile The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets. Background on the Team The Fixed Income Data Strategy team partners with trading, strats and technology to deliver high-quality, scalable and innovative data solutions. The team is at the forefront of applying advanced analytics, machine learning and generative AI to transform data into actionable insights and client facing products. Primary Responsibilities Morgan Stanley is seeking a highly motivated and technically skilled individual to join the Fixed Income Data Strat team as an Associate/Senior Associate Quant (2-4 years of experience). This role is ideal for candidates with a strong quantitative foundation, who combine a deep interest in applying Machine Learning and Generative AI in a front-office environment with an interest in building strategic infrastructure. Responsibilities This role is part of the Data Strat team, and will focus on the following areas: Apply Machine Learning and Generative AI techniques to automate workflows and streamline how users interact with data and analytics. Contribute to the design and development of Generative AI solutions, including multi-agent architectures, to enhance data accessibility across the Fixed Income business. Apply Large Language Models (LLMs), and advanced deep learning techniques to build intelligent systems capable of answering complex business queries and providing contextual insights on large-scale datasets. Partner with technology teams to build an integrated data platform supporting data pipelines, catalogues and analytics to support all sales and trading. Contribute to the creation and documentation of high-quality datasets both for analysis as well as selling to clients. Collaborate with Fixed Income trading desks to design AI-enabled solutions. Skills desired Education: Bachelor’s degree in Engineering or Sciences Master's degree in Financial Engineering, Computational Engineering, or a related field of study( Math / Physics / Computer Science ) is a plus. Required Qualifications: Solid understanding of Machine Learning concepts and practical experience applying them to real-world problems. Exposure to Generative AI models and their applications in finance. Practical knowledge of machine learning techniques and exposure to natural language processing (NLP) concepts. Strong programming skills in Python. Knowledge of Q/KDB and/or Scala is a definite plus. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications : Experience in a front-office quant or strat role within an investment bank or asset manager. Knowledge of Fixed Income products, markets, and trading dynamics. Experience working with Generative AI and LLMs, including techniques such as retrieval-augmented generation (RAG), prompt engineering and model fine-tuning. Demonstrable experience of writing testable code in a financial setting is ideal. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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