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

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Generative AI, Data Analytics, Large Language Models, Natural Language Processing, Python, Q/KDB, Scala, Analytical Skills, Problem-Solving, Communication Skills, Financial Engineering, Deep Learning, AI Solutions, Fixed Income, Quantitative Analysis

Industry

Financial Services

Description

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. 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. 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. 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. 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. 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. 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. 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.

Responsibilities

The role involves applying Machine Learning and Generative AI techniques to automate workflows and enhance data accessibility in the Fixed Income business. Additionally, it includes collaborating with technology teams to build an integrated data platform and designing AI-enabled solutions for trading desks.