Quantitative Strategist (Fintech)

TL;DR

Quantitative Strategist (Fintech): Developing ML models for fraud detection and risk management within Asset & Wealth Management with an accent on quantitative analytics and AI-led efficiency. Focus on building robust risk reporting tools, implementing LLM-based solutions, and optimizing portfolio analysis infrastructure.

Location: Dallas, Texas, United States

Company

A leading global investment banking, securities and investment management firm.

What you will do

• Develop and deploy ML models for fraud and anomaly detection and business workflow enhancement.
• Deliver risk metrics and quantitative analytics for financial and non-financial risks across wealth management.
• Implement AI-led solutions to improve the efficiency and accuracy of risk management processes.
• Build and maintain robust systematic risk management tools, reporting, and analytical infrastructure.
• Collaborate on the design of strategies to address clients' investment goals.
• Develop portfolio analysis tools across multiple asset classes for senior management.

Requirements

• Bachelor, Master, or Ph.D. in a quantitative or engineering field (e.g., Mathematics, Physics, CS, Quantitative Finance).
• 1-3 years of experience in quantitative financial modeling and software development.
• Strong programming and mathematical skills.
• Experience with Python (Pandas, NumPy, Scikit-learn) and Spark.
• Proficiency in SQL and manipulating data sets using relational databases.
• Must be based in Dallas, Texas, United States.

Nice to have

• Excellent understanding of ML algorithms such as gradient boosting decision trees and random forests.
• Experience with prompt engineering, LLM models, and MCP.
• Expertise in statistical methods, including time-series and regression analysis.

Culture & Benefits

• Commitment to fostering diversity and inclusion in the workplace.
• Access to extensive training, professional development opportunities, and firmwide networks.
• Comprehensive wellness programs and mindfulness offerings.
• Best-in-class benefits, including personal finance offerings.