Job Title: Finance Projects & systems – Finance Data Scientist (Associate)

Department: Finance Solutions Office

About Business line/Function: Financial Shared Services

Position Purpose: The main mission of this position will be to leverage data analytics, automations 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 F&S processes through data-driven solutions.

The mission of Finance Project Analyst is to contribute on one of these dedicated scopes.

Responsibilities

Direct 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 F&S stakeholders across different functions (PMO, IT, finance users, operation teams)

Contributing Responsibilities

·       Develop fast track solutions for specific need within the framework of the Finance & Strategy Platform in India as required for the teams using Fast track technologies – Python, Power BI or other technologies that are predominantly available 

·       Support in the implementation of the Automation and AI Strategy for the F&S function

Technical & Behavioral Competencies

At least 2 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:

·       Master Degree or higher in Mathematics, Physics, Statistics, Computer science, Data Science or similar background where analytics and figures prevail

·       Experience with AI tools is a plus

·       Experience in Banking and Financial Services industry is a plus

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

• Proficient in Mathematics, Physics, Statistics, Computer science, Data Science or similar background where analytics and figures prevail
• Proficient in Microsoft Office Suite (Excel, PowerPoint, Word) 
• Proficient in SQL and Querying
• Knowledge of Banking and Financial services Industry

Behavioral Skills: 

• Proactive and Autonomous
• Rigorous and Organized
• Demonstrate Control Mindset
• Ability to Synthesize and work in a demanding Environment

Education Level: Graduate or Post Graduate 

Location: Mumbai

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 specialized 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.

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.

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. 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.