BNP Paribas is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist Quant Research

Company:

• BNP Paribas

Location:

• Mumbai, Maharashtra, India

Job Type:

• Full-time

Job Mode:

• Hybrid

Job Requisition ID:

• Not specified

Years of Experience:

• Not explicitly mentioned; as per JD looks like a fresher entry level role; 0-3 years
  

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Company Description

• BNP Paribas is a globally recognized financial institution and one of the leading banking groups in Europe. With a presence in 65 countries, the organization employs over 190,000 professionals, including more than 145,000 in Europe.

• The company operates in three primary divisions:

  • Commercial, Personal Banking & Services: This segment includes retail banking networks and specialized services such as BNP Paribas Personal Finance and Arval.

  • Investment & Protection Services: This division focuses on wealth management, investment strategies, and protection solutions.

  • Corporate & Institutional Banking: Dedicated to servicing corporate clients and institutional investors with innovative financial products.

• BNP Paribas serves a diverse clientele, including individuals, small and medium-sized enterprises (SMEs), large corporations, and institutional investors. The bank provides financial solutions spanning lending, investment, savings, and insurance.

• The company has established strong footholds in Belgium, France, Italy, and Luxembourg and is a leader in consumer lending through BNP Paribas Personal Finance. It also operates in Mediterranean countries, Turkey, Eastern Europe, and Western U.S.

• BNP Paribas maintains a robust presence in Europe and the Americas and is expanding rapidly in the Asia-Pacific region. Its mission is to bridge financial needs with innovative solutions, ensuring long-term growth and stability.

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Profile Overview

• BNP Paribas is seeking a Data Scientist Quant Research professional to join their team in Mumbai. This role will focus on developing and deploying AI-driven solutions for financial modeling, time series forecasting, and anomaly detection in quantitative research.

• The candidate will be responsible for designing and refining AI models to uncover financial trends, predict market behaviors, and enhance decision-making capabilities. The role will involve working closely with stakeholders, analyzing large datasets, and applying machine learning techniques to financial problems.

• The position demands collaboration with various teams, including quants, data engineers, and business representatives, to ensure AI solutions align with real-world financial applications.

• The selected candidate will also be responsible for monitoring and improving deployed AI models to enhance their performance and reliability over time.

• The company encourages continuous learning and professional development, providing opportunities to work on cutting-edge research and innovative AI applications.

• The role offers exposure to high-impact projects in a global banking environment, requiring strong analytical, programming, and problem-solving skills.

• The ideal candidate should possess expertise in machine learning, deep learning, and financial data analysis, along with proficiency in Python and relevant AI frameworks.

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Responsibilities

• AI Model Development:

  • Design and implement AI models for time series forecasting, financial modeling, and anomaly detection.

  • Conduct data collection, preprocessing, feature engineering, model training, evaluation, backtesting, and performance monitoring.

• Research and Innovation:

  • Explore and analyze financial data to identify patterns and derive actionable insights.

  • Stay updated with the latest advancements in AI and machine learning to enhance model performance.

• Collaboration & Communication:

  • Work with quants, data scientists, and business stakeholders to understand financial use cases and translate them into AI solutions.

  • Present findings, model insights, and recommendations to decision-makers.

• Model Enhancement & Maintenance:

  • Continuously monitor and improve model accuracy and efficiency.

  • Ensure deployed AI models meet business objectives and regulatory requirements.

• Documentation & Reporting:

  • Maintain clear and detailed documentation of AI model development, deployment, and performance analysis.

  • Communicate model performance and enhancements to relevant teams.

• Data Security & Compliance:

  • Ensure adherence to data security standards and compliance requirements.

  • Implement best practices for data governance and integrity.

• Technical Support & Troubleshooting:

  • Provide support for deployed models across different time zones (Asia, EU, US).

  • Troubleshoot technical issues and enhance system reliability.

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Qualifications

• Educational Background:

  • Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Engineering, Mathematics, Physics, Economics, or Finance.

• Mathematical & Statistical Knowledge:

  • Strong understanding of probability, linear algebra, and statistical methods relevant to AI and machine learning.

• AI & Machine Learning Expertise:

  • Knowledge of fundamental and advanced machine learning techniques.

  • Familiarity with deep learning architectures, custom loss functions, and model optimization.

• Financial Data & Quantitative Research Skills:

  • Experience in working with financial datasets and time-series analysis.

  • Understanding of Monte Carlo simulations, Bayesian modeling, and causal inference techniques.

• Programming & Toolset Proficiency:

  • Strong programming skills in Python.

  • Hands-on experience with libraries such as NumPy, pandas, scikit-learn, PyTorch, PyMC, and statsmodels.

• Analytical & Problem-Solving Skills:

  • Ability to interpret complex datasets and extract meaningful insights.

  • Strong analytical and problem-solving abilities to optimize AI models.

• Communication & Documentation:

  • Clear and concise communication skills for presenting AI models and findings.

  • Ability to document AI development processes and results.

• Curiosity & Learning Attitude:

  • Intellectual curiosity and willingness to explore new concepts and technologies in AI and finance.

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Additional Information

• Work Environment & Culture:

  • BNP Paribas fosters an innovative and collaborative environment where AI research meets financial applications.

  • The team values creativity, intellectual curiosity, and cross-functional collaboration.

• Growth & Development:

  • The role provides opportunities to work on high-impact AI projects and gain exposure to global financial markets.

  • The company supports professional development, offering training programs and knowledge-sharing sessions.

• Networking & Industry Exposure:

  • Employees have access to industry experts, thought leaders, and a vast global network of professionals in AI and finance.

• Technology Stack & Tools:

  • BNP Paribas utilizes cutting-edge AI technologies and cloud-based infrastructures.

  • The role involves working with advanced machine learning frameworks, big data tools, and cloud platforms.

• Diversity & Inclusion:

  • BNP Paribas embraces a diverse and inclusive work environment, ensuring equal opportunities for all employees.

  • The company promotes a culture of respect, integrity, and innovation.

• Compensation & Benefits:

  • Competitive salary with performance-based bonuses.

  • Comprehensive health and insurance benefits, retirement plans, and paid leave policies.

• Work-Life Balance:

  • Hybrid work model allowing flexibility between office and remote work.

  • Supportive policies for work-life integration, ensuring employee well-being.

• Global Opportunities:

  • Employees can explore career growth opportunities across BNP Paribas' international locations.

  • Exposure to global AI and financial research communities.

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