Quantitative Research Analyst

Role: Quantitative Research Analyst (Data Modeling & Imputation) Location: Chicago, IL (or) Boston, MA (Onsite from Day 1) Job Type: W2 Contract Description: Build and maintain end-to-end data pipelines across structured and unstructured datasets Develop imputation frameworks for missing or sparsely reported financial data (e.g., segment-level estimates, coverage gaps, timing mismatches) Design and implement data normalization and reconciliation logic across overlapping hierarchies (e.g., segme

Job Title:Quantitative Risk Management ConsultantJob Type:ContractDuration:Through April 2027Location:Chicago, IL (Onsite 5 Days/Week)Work Address:20 S. Wacker Drive, Chicago, ILJob OverviewWe are seeking a highly analyticalQuantitative Risk Management Consultantto join the Risk Management team. This role focuses on developing, validating, and back-testing risk models that support clearing initiatives and financial risk analysis. Key ResponsibilitiesDevelop, analyze, andback-test quantitative r

Job Title: Quantitative Risk Consultant Chicago, IL (Hybrid 3 days/week) Long-term W2 Contract Must be authorized to work in the U.S. (No sponsorship) Role Overview Seeking a strong Quant + Developer to support risk model development, validation, and back-testing within a high-impact Risk Management team. Key Requirements Strong quantitative & analytical background C++ / Java+ Python/R/SQL Solid financial markets knowledge (must-have) Experience with risk models: VaR (Historical/Monte Carlo), S

Bachelors degree in Computer Science, Statistics, Mathematics, or related field25 years of experience in data analysis or similar roleStrong knowledge of SQLExperience with Excel (Pivot Tables, VLOOKUP, etc.)Familiarity with data visualization tools like Power BI or TableauBasic understanding of Python or R for data analysisStrong analytical and problem-solving skillsGood communication and presentation skills