Quantitative Risk Analyst

Corepay

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Salt Lake City, UT
Posted
16 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $155k
$114k most similar roles pay here $195k

This listing doesn't post a salary. Most similar roles pay $122,275–$187,250.

Based on 239 similar postings.

Employer

About Corepay

Corepay is a payment solutions provider offering merchant services, payment processing technology, and ISO/MSP programs for businesses and payment agents. Industry: Payments Technology & Merchant Services

Corepay currently has 45 open roles on FindRole.

Listed pay typically runs $145,000–$172,500 across 14 roles with salary data.

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At a glance

TL;DR · Quantitative Risk Analyst

The Quantitative Risk Analyst joins the cross-border TMS Analytics team to support a proprietary Treasury Management System suite used by global corporations. This role focuses on managing client data workflows, maintaining Python-based automation pipelines, and building customized analytical outputs for balance sheet hedging, cash flow hedging, and intercompany netting. The successful candidate will perform ETL tasks, troubleshoot scripts when data formats shift, and develop custom reports to support sales demos and onboarding. Required technical skills include hands-on Python experience for reading and debugging production code, along with proficiency in data analysis tools like Excel, Tableau, or Power BI. Candidates should possess an understanding of FX markets and treasury management systems. The role solves complex problems regarding foreign exchange risk by converting manual processes into automated workflows to help clients manage global financial risks effectively.

What you'll do

  • Ingest, transform, and format client FX data for use within the proprietary Treasury Management System.
  • Maintain, troubleshoot, and restore Python automation pipelines when scripts fail or data formats change.
  • Build custom reports, data extracts, and output files that exceed standard system capabilities.
  • Identify opportunities to convert manual processes into repeatable, automated workflows.
  • Support client-facing analytics for use in sales demos, retention meetings, and onboarding.
  • Assist clients with routing data outputs back into their ERP or accounting systems.

What we're looking for

  • Hands-on Python experience to read, debug, and modify scripts in a production environment.
  • Understanding of ETL concepts including data ingestion, transformation, and output formatting.
  • Proficiency with data analysis and visualization tools such as Excel, Tableau, or Power BI.
  • Strong analytical and problem-solving skills to diagnose automation failures and implement fixes.
  • Excellent communication skills for interacting with clients, internal analysts, and operations teams.
  • Exposure to FX markets, treasury management, or financial risk concepts (preferred).
  • Familiarity with Treasury Management Systems (TMS) or similar financial platforms (preferred).
  • Bachelor's degree in Finance, Mathematics, Computer Science, Economics, or a related field, or equivalent work experience.

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