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.
a
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:
FINANCE STRATEGY
The Finance Strategy Function (FS) ensures, for the BNP Paribas Group, the production and publication of accounting and financial management statements necessary for the management of the Group, financial and tax optimization along with the external growth strategy. It also plays an alert advisory role vis-a-vis the General Management.
FINANCE SOLUTIONS OFFICE
Within the Chief Operating Office (COO) of Finance Strategy, the Finance Solutions Office (FSO) has three main missions:
(1) Steer the end-to-end implementation of projects related to Finance tools by responding to Business Line and FS requirements in a timely manner;
(2) Implement and maintain a harmonized Finance operating model across the Group with a particular focus on the roll out of One Financial System (OFS), cornerstone of the FS strategy;
(3) Steer the implementation of Artificial Intelligence within FS in close collaboration with Finance RISK Solutions (FRS).
Job Title:
Data Scientist
Date:
Department:
FSS – Finance solutions office
Location:
Business Line / Function:
Finance Strategy - FSS
Reports to:
(Direct)
Grade:
(if applicable)
(Functional)
Number of Direct Reports:
Directorship / Registration:
NA
Position Purpose
The main mission of this position will be to leverage data analytics and machine learning techniques to enhance financial decision-making, optimise processes, and mitigate risks. This involves analysing large datasets to uncover insights, developing predictive models to forecast financial trends, and creating data-driven strategies to improve efficiency and profitability. This also includes a capacity to proactively propose axes of improvement of FS processes through data-driven solutions.
Responsibilities
· Analysing large datasets to identify trends, patterns, and insights that can inform business decisions
· Designing and developing Predictive (Machine Learning) models
· Finding, managing and using the most appropriate data sources for modelling purposes
· Working with expert colleagues and business representatives to examine the results and keep models grounded in reality
• Documenting each step of the development and informing decision makers by presenting them options and results
• Ensuring correct implementation of the tools (together with the IT department - FRS)
• Continuously assessing models by means of back-testing
• Timely tracking of the deliverables against agreed timeline and budget
• Arrange smooth go-live implementation and provide post go-live support
• Present project status regularly to senior management
• Build and maintain a trusted relationship with all FS stakeholders across different functions (PMO, IT, finance users, operation teams)
Technical Behavioral Competencies
At least 5 years of experience in Machine learning algorithms, Frameworks and industrialisation:
· Master Degree or higher in Mathematics, Physics, Statistics, Computer science, Data Science or similar background where analytics and figures prevail
· Degree in Accounting / Finance is a plus
· Proficiency in programming languages such as Python and R
· Proficiency in data science tools and environments, such as Jupyter Notebooks and Git
· Good knowledge of SQL
· Knowledge of Data Visualisation solution(s)
· Strong understanding of statistical methods and concepts
· Having at least sound knowledge of Finance processes and/or systems is a plus
· Experience of working in Global work environment across cultures appreciated
· Experience with database management systems
· Experience with machine learning algorithms and frameworks (professional/academic)
· Experience in machine-learning models industrialisation
· Strong listening skills, strong interpersonal skills and a strong cross-functional cooperation between teams
· Rigorous and dynamic, you like human contact, work as a team and have an excellent organization ability
· Knowledge of Banking and Financial services
· Good communication (oral and written), organisation and documentation skills
· Ability to adapt to change and proficient in problem solving.
· Capability to work and interact with various people of different expertise and level.
· Client oriented
· Collaborative worker team player
Specific Qualifications (if required)
n Master Degree or higher in Mathematics, Physics, Statistics, Computer science, Data Science or similar background where analytics and figures prevail
n Degree in Accounting / Finance is a plus
n Proficiency in programming languages such as Python and R
n Proficiency in data science tools and environments, such as Jupyter Notebooks and Git
n Good knowledge of SQL
n Knowledge of Data Visualisation solution(s)
n Strong understanding of statistical methods and concepts
n Having at least sound knowledge of Finance processes and/or systems is a plus
n Experience of working in Global work environment across cultures appreciated
n Experience with database management systems
n Experience with machine learning algorithms and frameworks (professional/academic)
n Experience in machine-learning models industrialisation
Skills Referential
Behavioural Skills: (Please select up to 4 skills)
Communication skills - oral written
Ability to synthetize / simplify
Creativity Innovation / Problem solving
Ability to deliver / Results driven
Transversal Skills: (Please select up to 5 skills)
Ability to set up relevant performance indicators
Analytical Ability
Ability to develop and adapt a process
Ability to develop and leverage networks
Ability to manage / facilitate a meeting, seminar, committee, training…
Education Level:
Bachelor Degree or equivalent
Experience Level
At least 5 years
Other/Specific Qualifications (if required)
Language: Fluent English, French is a plus
Read more
