Data Science Intern

About BNP Paribas India Solutions
Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union's leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.

About BNP Paribas Group
BNP Paribas is the European Union's leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group's commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability

Commitment to Diversity and Inclusion
At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.

About Business Line/Function
Global Markets is currently recruiting talented people to join one of the most challenging and exciting part of our Quantitative Research team, the Data and Artificial Intelligence Lab

We are currently recruiting interns (in Mumbai) for the Global Market Data and Artificial Intelligence Lab of BNP Paribas: Global Market is part of the Corporate and Investment Bank and deals with all market activities on Equity, Foreign Exchange and Local Markets, G10 Rates, Primary and Secondary Credit and Financing asset classes.

The Lab mission is to leverage the latest techniques of Machine Learning (Deep Learning, Natural Language Processing) on the vast amount of structured and un-structured data we are collecting while doing our business as well as any other public source of information.

Position Purpose

We are, among other things, building models to improve the service we give to our clients (issuing recommendation, anticipating their needs, bringing the relevant research…), to help traders better understanding and managing their risks or leverage alternative data sources (social media, news, images…) for the benefit of our strategists.

We are looking for candidates with education in data science, who not only have experience in solving complex problems but as well understand how and why the model work the way they do.

They need to be motivated with dealing with large amount of very diverse data and extracting valuable insights out of it.

The right candidate needs to be able to adapt quickly to new challenges, not to be afraid to experiment many times and fail before finding the right solution, challenge themselves with the feedback of the users and they will have the excitement of seeing their work being used in real live by the business.

For Internships, We Are Looking At Duration Of 6 Months And We Are Flexible On The Starting Date (the Earlier The Better). The Intern Will Participate To The Life Of The LAB And Will Take Ownership Of One Or More Topic. We Have a Great Variety Of Topics, And Some Of The Historical Propositions Included

• Prediction of which products are the most likely to be interesting for a given client.
• Automated Generation of Market Comment.
• Optimal Risk Management of Interest Rates Swap Risk.
• Regime disentanglement for financial mixture of experts models.
• Generative modelling for model control.
• Transformers for quantitative investment strategies.

Based on the skillset & business need, we can select a valuable proposition for you

Responsibilities
Direct Responsibilities

• Explore and examine data from multiple diverse data sources.
• Conceptual modeling, statistical analysis, predictive modeling and optimization design.
• Data cleanup, normalization and transformation.
• Hypothesis testing: being able to develop hypothesis and test with careful experiments.

Contributing Responsibilities

• Help build workflows for extraction, transformation and loading of different data from a variety of sources and enable linking them to existing systems and datasets.
• Ensure the integrity and security of data.

Technical & Behavioral Competencies

• Education in data science, who not only have experience in solving complex problems but as well understand how and why the model work the way they do.
• Knowledge of key concepts in Statistics and Mathematics such as Probability Theory, Inference, and Linear Algebra.
• Knowledge or experience in Machine Learning procedures and tasks such as Classification, Prediction, and Clustering.
• Programming skills in Python and knowledge of common numerical and machine-learning packages (NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, langchain).
• Ability to write clear and concise code in python.
• Intellectually curious and willing to learn challenging concepts daily.
• Involvement with the Data Science community through platforms such as Kaggle, Numerai, Open ML, or others.
• Knowledge of current Machine Learning/Artificial Intelligence literature.

Skills Referential
Behavioural Skills:

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

Transversal Skills

• Analytical Ability

Education Level: Bachelor's Degree or Master's Degree or equivalent
Experience Level: Beginner