Quantitative Strategist (Fintech)

TL;DR

Quantitative Strategist (Fintech): Building quantitative models and tools to manage counterparty credit risk and fraud detection with an accent on AI-led solutions and systematic risk reporting. Focus on developing ML models, optimizing financial data workflows, and collaborating with risk leadership to drive data-driven decision-making.

Location: Must be based in New York, NY

Salary: $115,000 - $180,000

Company

A leading global financial institution providing investment management, banking, and comprehensive wealth advice to a diverse range of clients.

What you will do

• Develop quantitative stress-based models for counterparty credit risk management.
• Design and deploy AI and ML solutions to enhance fraud detection and business workflows.
• Deliver comprehensive valuation, risk metrics, and quantitative analytics across wealth management.
• Build and maintain robust infrastructure for analytical systems.
• Collaborate with risk management and leadership teams to address client investment goals.
• Develop reporting tools for senior management and portfolio managers.

Requirements

• Must be based in New York, NY
• Bachelor, Masters or Ph.D. in a quantitative field such as mathematics, physics, or computer science.
• 1-3 years of experience in quantitative financial modeling and software development.
• Strong programming and mathematical skills.
• Proven ability to communicate complex ideas to diverse audiences.
• Self-starter capable of working independently in a fast-paced environment.

Nice to have

• Experience with counterparty credit risk and stress-based risk models.
• Proficiency with prompt engineering, LLMs, and MCP.
• Experience with statistical methods like time-series and regression analysis.
• Experience programming in object-oriented languages.
• Competency in manipulating large datasets using SQL and relational databases.

Culture & Benefits

• Best-in-class benefits package.
• Work in a dynamic, fast-paced corporate environment.
• Exposure to industry-leading financial technologies and risk strategies.
• Collaboration with diverse teams including leadership and fraud strategy specialists.