Senior Analyst Quantitative Engineering (Fintech)

TL;DR

Senior Analyst Quantitative Engineering (Fintech): Designing and implementing quantitative models for budget planning and management with an accent on time-series forecasting, revenue/expense modeling, and AI agentic systems. Focus on developing scalable AWS cloud solutions, utilizing Rust for scientific computing, and building autonomous AI workflows for financial analysis.

Location: New York, NY, United States (Onsite)

Salary: USD 110,000 - 130,000

Company

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

What you will do

• Design and implement advanced quantitative models for time-series forecasting of revenues, expenses, and balance sheet dynamics.
• Develop explainable Machine Learning (ML) models for financial event prediction, revenue forecasting, and regulatory compliance.
• Engineer AI agentic systems using frameworks like LangGraph, Google ADK, or AWS Bedrock for automated analysis and reporting.
• Deploy scalable, production-grade mathematical and statistical models on AWS Cloud.
• Conduct rigorous simulation studies, Monte Carlo analysis, and uncertainty quantification to support corporate strategy.
• Collaborate with cross-functional stakeholders in Finance and Risk to translate business needs into technical model specifications.

Requirements

• Must be based in New York, NY, United States.
• PhD in Statistics, Computer Science, Applied Mathematics, Physics, or a related quantitative field (no professional experience required).
• OR Master's degree with 1 year of experience OR Bachelor's degree with 3 years of experience in a quantitative engineering role.
• Proficiency in Rust, Python, or C++.
• Expertise in time-series econometrics, simulation, and non-parametric statistics.
• Experience with AWS Cloud deployment and processing large-scale datasets using SQL.

Nice to have

• Strong academic research background or PhD.
• Contributions to open-source projects or relevant professional publications.

Culture & Benefits

• Opportunity to apply advanced computational techniques to real-world corporate financial challenges.
• Exposure to cutting-edge AI agentic workflows and high-performance scientific computing with Rust.
• Collaborative environment working with senior leadership and core corporate departments.