Quantitative Risk Analyst: Statistical Analyst

Quantitative Risk Analyst: Statistical Analyst | Location: Chicago, IL | Contract | Hourly Pay Range $50-$65

This Data & Statistics Analyst role supports a Quantitative Risk Management team on a risk model monitoring initiative. You’ll focus on building and maintaining monitoring metrics, data pipelines, and reporting using SQL, Alteryx, Tableau, Airflow, and Python—supporting model monitoring outcomes without performing quantitative model development.

Key Responsibilities

Develop and maintain risk model monitoring metrics using SQL, Alteryx, Tableau, and Python.

Build, schedule, and maintain data workflows and pipelines using Airflow.

Write complex SQL to extract, transform, validate, and reconcile data from multiple sources.

Create and maintain Tableau dashboards and reporting for monitoring and performance tracking.

Support model performance testing and back-testing using historical data.

Build Python automation (including Pandas) for recurring analytics and data-processing tasks.

Perform exploratory data analysis and visualization using statistical methods.

Provide analysis and reporting support to risk managers and stakeholders.

Support monitoring metrics associated with new product launches.

Review metric implementations for requirements alignment, code quality, and testing completeness.

Participate in code reviews, troubleshooting, and defect resolution.

Produce and maintain documentation for monitoring metrics, prototypes, and implementations.

Required Qualifications

Master’s degree (or equivalent) in a quantitative field (e.g., data analytics, computer science, mathematics, physics, finance/financial engineering).

3+ years of experience in data analytics.

Advanced SQL skills and strong proficiency with relational databases.

Hands-on experience with Alteryx.

Hands-on experience with Tableau.

Experience with Airflow or similar workflow orchestration tools.

Python experience, including Pandas.

Experience with code repositories and deployment tools (e.g., Git, GitHub, Jenkins).

Proficiency with Excel, PowerPoint, Word, and Confluence.

Preferred Qualifications

Familiarity with model monitoring, back-testing, or model validation processes.

Experience with non-relational databases, big data, or cloud-based computing.

Experience in financial services, risk management, or derivatives.

About Delphi-US - Peacemakers in the Talent War

Delphi-US is a national IT Services firm based in Newport, Rhode Island. Delphi attracts our nation's best and brightest Technical & Professional Talent and positions our nation's finest employers to further their competitive advantages. Delphi's core technical focus includes Data Intelligence Engineering & Analytics, AI/ML Operational Excellence, DevOps & Cloud Computing, Health IT & Life Sciences, and Energy Management/Power Systems; serving domains from sensitive national energy sectors to critical financial services, biomed, life sciences & pharma, major government & municipal institutions, and much of the USA's Fortune 500 corporations. Delphi Associates are deployed on critical IT Projects where their consultative business acumen, comprehensive technical expertise, and committed service mission drives our client's success. Our proprietary skill-based and cultural matching process results in higher qualified project teams, custom curated for our client's specific technical & functional goals. We are supremely experienced, friendly, professional, and ready to advocate on your behalf. Delphi has an indelible understanding of employer expectations, a track record of project success and we deliver lasting results.

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