Data Scientist

About BNP Paribas India Solutions

Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a prominent European Union bank with a global presence. With delivery centers in Bengaluru, Chennai, and Mumbai, we operate as a 24x7 global delivery hub, supporting Corporate and Institutional Banking, Investment Solutions, and Retail Banking for BNP Paribas worldwide. Leveraging the expertise of over 10,000 employees, we are committed to driving innovation and delivering best-in-class solutions.

About BNP Paribas Group

BNP Paribas is the leading bank in the European Union and a significant international banking player, operating in 65 countries with nearly 185,000 employees, over 145,000 of whom are in Europe. The Group holds key positions in Commercial, Personal Banking & Services (including BNP Paribas Personal Finance and Arval), Investment & Protection Services (for savings, investment, and protection solutions), and Corporate & Institutional Banking (serving corporate and institutional clients). Our diversified and integrated model supports clients – individuals, associations, entrepreneurs, SMEs, corporates, and institutions – in achieving their goals through financing, investment, savings, and insurance solutions. BNP Paribas has established its integrated commercial & personal banking model in its four domestic markets (Belgium, France, Italy, Luxembourg) and is expanding in Mediterranean countries, Turkey, and Eastern Europe. As a global banking leader, we possess strong platforms and business lines in Europe, a substantial presence in the Americas, and a rapidly growing business in Asia-Pacific. BNP Paribas is dedicated to Corporate Social Responsibility, contributing to a sustainable future while ensuring performance and stability.

Commitment to Diversity and Inclusion

At BNP Paribas, we champion diversity and are dedicated to cultivating an inclusive environment where every employee feels valued, respected, and empowered to be their authentic self. We strictly prohibit discrimination and harassment and uphold policies that promote equal employment opportunities for all, irrespective of gender, gender identity, sex, sexual orientation, ethnicity, race, color, national origin, age, religion, social status, or mental/physical disabilities. We firmly believe that the diversity of our global teams is crucial to our success in serving our clients and communities.

About Business Line/Function

The GM Data & AI Lab harnesses the power of Machine Learning and Deep Learning to foster innovation across various business lines. Our mission is to utilize vast amounts of structured and unstructured data to enhance services and deliver tangible value. We are a global team of over 40 Data Scientists located in Paris, London, Frankfurt, Lisbon, New York, Singapore, and Mumbai.

Job Title

Data Scientist (Quant Research)

Department

Front Office Support

Location

Mumbai

Business Line / Function

Global Markets Data & AI Lab

Position Purpose

This role involves designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection, and other quantitative research use cases. We leverage AI to identify patterns, classify data, and predict likelihoods. Our team focuses on building, refining, testing, and deploying these models to support diverse business needs, driving innovation and business value. You will work on challenging projects, collaborate with stakeholders to understand business problems, and have ample opportunities for learning and growth. Daily activities may include model development, stakeholder discussions, and technical brainstorming with colleagues.

We are passionate about staying at the cutting edge of AI research, bridging the gap between academia and industry to drive innovation and deliver real-world impact.

Responsibilities

• Develop and maintain AI models for predictive modeling using time series and financial data, encompassing data collection, analysis, feature engineering, model development, evaluation, backtesting, and monitoring.
• Identify opportunities for model enhancement through independent research and analysis, proposing updates and improvements.
• Collaborate with expert colleagues, Quants, and business representatives to analyze model results and ensure their practical relevance.
• Document all development steps and present findings and options to decision-makers.
• Ensure the integrity and security of data.
• Provide production support for models developed by the Mumbai team and potentially assist with models across Asian, European, or US time zones.

Technical & Behavioral Competencies

• Bachelor's or Master's degree in a quantitative field with an understanding of economics and markets (e.g., Economics with Econometrics, Finance, Computer Science, Applied Mathematics, Engineering, Physics).
• Solid understanding of Statistics and Mathematics, including statistical methods for Machine Learning, Probability Theory, and Linear Algebra.
• Knowledge of Monte Carlo Simulations, Bayesian modeling, and Causal Inference.
• Experience with Machine Learning & Deep Learning concepts, including data representations, neural network architectures, and custom loss functions.
• Proven experience in building AI models on time-series and financial data.
• Proficiency in Python programming and familiarity with common numerical and machine-learning libraries (e.g., NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels).
• Ability to write clear and concise Python code.
• Intellectual curiosity and a strong desire to learn complex concepts daily.

Skills Referential

Behavioural Skills:

• Collaboration / Teamwork
• Critical thinking
• Communication skills - oral & written
• Attention to detail / rigor

Transversal Skills

• Analytical Ability

Education Level

Bachelor Degree or equivalent

Experience Level

At least 2 years