Quantitative risk/Quantitative Developer

Senior Python Developer – Risk & Banking Domain

Location: Downtown, NY (1st preference onsite, 2nd preference remote)

Visa Status: Open to eligible candidates

Role Overview

We are seeking an experienced Senior Python Developer with strong expertise in data processing, SQL, and risk modeling within the banking domain. The ideal candidate will have extensive hands-on experience in building data-driven solutions, applying data modeling techniques, and supporting financial risk and liquidity analysis.

This role requires a professional who can work closely with business stakeholders, risk teams, and technology groups to develop scalable data solutions and analytical models. The consultant will be responsible for designing and implementing robust data pipelines, performing complex data manipulations, and contributing to risk modeling initiatives.

The selected candidate will play a key role in developing Python-based applications, optimizing SQL queries, and supporting liquidity and risk management functions in an Agile environment.

Key Responsibilities

• Develop and maintain Python-based applications for data processing and analysis
• Write and optimize complex SQL queries for data extraction and manipulation
• Design and implement data models and data modeling techniques
• Support development and enhancement of risk models and analytical frameworks
• Work on liquidity risk analysis and reporting within the banking domain
• Collaborate with business, risk, and technology teams to gather requirements
• Ensure data accuracy, consistency, and integrity across systems
• Participate in Agile development processes including sprint planning and reviews
• Analyze large datasets to generate insights for financial decision-making
• Enhance performance and scalability of data-driven applications

Required Qualifications

• 6+ years of hands-on experience in Python development
• Strong expertise in SQL and data manipulation techniques
• Proven experience in the banking or financial services domain
• Solid understanding of risk modeling and liquidity concepts
• Experience applying data modeling techniques and working with data models
• Familiarity with Agile methodologies
• Strong analytical and problem-solving skills
• Solid educational background from a reputed university