Quantitative Research Analyst; Data Modeling & Imputation

Overview

Job Title:

Quantitative Research Analyst (Data Modeling & Imputation)

Location:

Chicago, IL or Boston, MA (Hybrid)

Employment Type:

Contract

Pay Range: $70.30/hr on W2 | $84.21/hr. on C2C

Domain:
Quantitative Finance & Data Engineering

Final date to receive applications:
July 15, 2026

• Build and maintain end-to-end data pipelines for both structured and unstructured financial datasets.
• Design and implement sophisticated imputation strategies to address coverage gaps, segment-level estimates, and timing mismatches.
• Develop logic to normalize data across overlapping hierarchies (geographies, entities, and segments).
• Conduct deep-dive data quality analysis, including coverage assessments, bias detection, and stability testing.
• Collaborate directly with researchers to translate raw, messy real-world data into model-ready features.
• Write efficient, reproducible, and auditable code in Python and SQL; document all methodologies to ensure complete transparency.

• Primary (Must-Have):
  • Expert Data Wrangling:
    Mastery of large-scale data transformation and pipeline development.
  • Advanced Statistical Modeling:
    Expert-level experience in imputation methods (cross-sectional inference, time-series interpolation, model-based approaches).
  • Technical Stack:
    Advanced Python (Pandas, Num Py) and strong SQL proficiency.
  • Data Integrity:
    Proven ability to perform quality diagnostics, bias detection, and stability testing.
  • Financial Domain Knowledge:
    Strong grounding in statistics, econometrics, and familiarity with equity markets/financial statements.
• Secondary (Good to Have):
  • Advanced Analytics:
    Experience with NLP and unstructured data pipelines.
  • Big Data Tools:
    Familiarity with distributed computing (Databricks, Spark).
  • Alternative Data:
    Exposure to supply chain data, transcripts, or other non-traditional datasets.

Medical | Dental | Vision | 401(k)

EEOC Compliance

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

AI Usage Policy:
Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.