Senior Associate, Decision Science, Finance Analytics

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Columbus, OH
Employment: Full-time
Posted: 12 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $177k

$127k $225k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $145,200–$209,133.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Senior Associate, Decision Science, Finance Analytics

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As a Senior Associate, Decision Science – Finance Analytics, you will join the Finance Decision Optimization team to support the end-to-end model development lifecycle. You will translate business needs into technical requirements, prototype solutions, and partner with modeling and technology teams to deliver analytics that drive measurable outcomes. Your daily responsibilities include performing exploratory analysis, conducting sensitivity analysis, and managing user acceptance testing. You will design and optimize complex SQL queries and Python scripts to support data validation and integration. The role requires proficiency in statistical and experimental techniques like A/B testing. You will work within the corporate finance and banking domain to develop and refine statistical models, ensuring production results comply with business requirements while monitoring ongoing performance and verifying production processes for the finance organization.

Skills

Python SQL SAS R Databricks Streamlit Machine Learning A/B Testing Data Analytics Model Development Data Validation

What you'll do

Develop and refine statistical models in partnership with quantitative modeling teams.
Translate business needs into technical requirements and prototype solutions for new requests.
Design and optimize complex SQL queries and Python scripts for data validation and exploration.
Perform sensitivity analysis and analyze behavioral patterns to inform modeling approaches.
Conduct user acceptance testing to ensure delivered functionality meets business requirements.
Validate that production results comply with requirements and monitor ongoing production processes.
Deliver analytics that drive measurable business outcomes and strategic finance decisions.

What we're looking for

Formal training or certification on software engineering concepts and 3+ years of applied experience.
3+ years of experience at a financial institution or consulting firm in corporate finance, banking, treasury, data analytics, or quantitative modeling.
Strong analytical skills to collect, organize, and analyze significant amounts of information with attention to detail and accuracy.
Experience with statistical and experimental techniques such as controlled testing (A/B testing).
Proficiency in analytics and programming tools, specifically SQL and Python.
Strong problem-solving, critical thinking, communication, and organizational skills to articulate results to senior stakeholders.
Experience supporting large-scale data projects (preferred).
Proficiency with SAS, R, Databricks, Streamlit, or Amazon Web Services cloud environments (preferred).

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