5 - 10 years
7 - 12 Lacs
Posted:3 days ago|
Platform:
Work from Office
Full Time
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 F&S 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 F&S 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 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 Other/Specific Qualifications (if required) Language: Fluent English, French is a plus
BNP Paribas
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