Junior Quantitative Risk Analyst

Corepay

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
South Jordan, UT
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $159k
$114k most similar roles pay here $204k

This listing doesn't post a salary. Most similar roles pay $122,275–$195,250.

Based on 240 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 44 open roles on FindRole.

Listed pay typically runs $157,000–$190,000 across 13 roles with salary data.

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At a glance

TL;DR · Junior Quantitative Risk Analyst

The Junior Quantitative Risk Analyst joins the cross-border TMS Analytics team to support a proprietary Treasury Management System suite used by global corporates for managing foreign exchange risk through balance sheet hedging, cash flow hedging, and intercompany netting. The role involves managing client data workflows, maintaining and troubleshooting Python-based automation pipelines, and building customized analytical outputs, reports, and data extracts. Key responsibilities include performing ETL tasks to ingest and format client FX data while identifying opportunities to automate manual processes. Required skills include hands-on Python experience for debugging production scripts, an understanding of ETL concepts, and proficiency with data analysis tools like Excel, Tableau, or Power BI. Candidates should possess knowledge of FX markets, treasury management systems, and financial risk concepts to solve complex problems related to corporate treasury operations and reporting.

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 demos, and onboarding processes.
  • Assist clients in 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.
  • Bachelor's degree in Finance, Mathematics, Computer Science, Economics, or a related field, or equivalent work experience.
  • Exposure to FX markets, treasury management, or financial risk concepts (preferred).
  • Familiarity with Treasury Management Systems (TMS) or similar financial platforms (preferred).

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