Quantitative Risk Analyst

Corepay

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Salt Lake City, UT
Posted
76 days ago
Freshness
Confirmed live 2 days ago

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 and troubleshooting 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, including ingesting and transforming foreign exchange data, while identifying opportunities to convert manual processes into automated workflows. Required technical skills include hands-on Python coding to debug production scripts, along with proficiency in data analysis tools like Excel, Tableau, or Power BI. The role addresses the specific business problem of managing FX risk within a treasury environment. Candidates should possess an understanding of financial risk concepts and experience with Treasury Management Systems or similar financial platforms.

What you'll do

  • Ingest, transform, and format client FX data for use within the proprietary TMS tools.
  • Maintain, troubleshoot, and restore Python automation pipelines when scripts fail or data formats change.
  • Build custom reports, output files, and data extracts that exceed standard system capabilities.
  • Identify opportunities to convert manual processes into repeatable, automated workflows.
  • Support client-facing analytics for retention meetings, sales demonstrations, and onboarding processes.
  • Assist clients in routing data outputs back into their internal 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.
  • Exposure to FX markets, treasury management, or financial risk concepts is preferred.
  • Familiarity with Treasury Management Systems (TMS) or similar financial platforms is a strong plus.
  • Proficiency with data analysis and visualization tools such as Excel, Tableau, or Power BI.
  • Strong analytical and problem-solving skills to diagnose and fix automation failures.
  • Excellent communication skills for interacting with clients and internal teams.
  • Bachelor's degree in Finance, Mathematics, Computer Science, Economics, or a related field, or equivalent experience.

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