Apply Now For Data Scientist At BNP Paribas in Mumbai offers a unique opportunity to work at the intersection of finance and artificial intelligence. Are you a data scientist passionate about quantitative research, financial modeling, and AI-driven analytics? It is a great opportunity to Apply Now For Data Scientist At BNP Paribas in 2025. As one of Europe’s leading banks, BNP Paribas is looking for skilled professionals to drive AI innovation in financial analytics.
Key Responsibilities Of Data Scientist At BNP Paribas
- AI & Time Series Modeling: Develop and deploy predictive models for time series forecasting, anomaly detection, and risk assessment.
- Data Engineering & Feature Engineering: Handle complex financial datasets, perform feature extraction, cleaning, and optimization.
- Model Development & Evaluation: Build machine learning and deep learning models, including Monte Carlo simulations, Bayesian modeling, and causal inference.
- Stakeholder Collaboration: Align AI solutions with real-world financial applications, working closely with business teams and financial experts.
- AI Model Maintenance: Ensure optimal performance, backtesting, and periodic improvements of deployed models.
- Security & Compliance: Maintain data integrity, security, and regulatory compliance in financial model development.
Required Skills & Qualifications
To excel in this role, candidates should have expertise in mathematics, statistics, and AI-driven financial analytics.
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Finance, Engineering, Physics, or Economics with Econometrics specialization.
- Technical Skills:
- Proficiency in Python (NumPy, pandas, scikit-learn, PyTorch, PyMC, statsmodels)
- Strong foundation in Probability Theory, Linear Algebra, and Statistical Machine Learning
- Experience with Deep Learning and Neural Networks
- Understanding of Monte Carlo simulations and Bayesian modeling
- Ability to develop custom loss functions for AI models
- Analytical & Problem-Solving Abilities:
- Strong mathematical reasoning and data interpretation skills
- Expertise in financial and time-series data analysis
- Passion for solving complex financial modeling challenges
- Soft Skills:
- Excellent communication and collaboration skills
- Curiosity and continuous learning mindset
- Attention to detail and ability to present findings clearly
The BNP Paribas Advantage: Growth & Work-Life Balance
A career at BNP Paribas is more than a job—it’s a career-defining opportunity. The company fosters an inclusive, growth-oriented, and balanced work environment.
- Career Development & Learning:
- Access to training programs in AI, machine learning, and finance.
- Opportunities to switch roles, explore diverse financial domains, and advance professionally.
- Diversity & Inclusion:
- A strong commitment to equity, diversity, and inclusion, with 50,000+ employees engaged in D&I initiatives.
- Inclusive policies for women, multicultural communities, and LGBTQIA+ professionals.
- Social Impact & Corporate Responsibility:
- BNP Paribas is investing €200 million by 2025 in youth education and financial inclusion.
- Work-Life Balance:
- Flexible hybrid work model with remote work opportunities.
- Access to wellness programs, community support, and employee networking groups.
How to Apply Now For Data Scientist At BNP Paribas
If you are passionate about AI, financial modeling, and quantitative research, this is your chance to work on groundbreaking projects at BNP Paribas.
To apply:
- Craft a compelling resume showcasing expertise in AI, financial modeling, and time-series analysis.
- Highlight hands-on experience with Python, deep learning, and statistical modeling.
- Submit your application via BNP Paribas’ official careers portal.
Seize this opportunity to join BNP Paribas’ elite AI-driven financial research team. Apply today and take the next step in your Data Science & Quantitative Research career!
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