Senior Associate, Decision Science - Finance Analytics

Next Frontier Capital; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Total rewards package

Health coverage

Retirement plan

Job summary

JPMorganChase in the United States is seeking a Quant Analytics Senior Associate to support end-to-end model development, from exploration to production monitoring, translating business needs into technical requirements and delivering analytics that drive measurable outcomes.

You will collaborate with modeling and technology teams, develop statistical models, and ensure solutions perform as intended in production. Strong SQL and Python skills, plus 3+ years in finance analytics, are expected.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years 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 with ability to collect, organize, and analyze significant information with accuracy.
• Experience with statistical and experimental techniques such as controlled testing (A/B testing).
• Proficiency in analytics and programming tools to drive business outcomes, including SQL and Python.
• Strong problem-solving, critical thinking, communication, and organizational skills.
• Ability to collaborate with technical partners and translate data into actionable recommendations.

Responsibilities

• Drive business outcomes and decision-making through data and analytics by using enterprise data to inform modeling approaches, understand behavioral patterns, and perform sensitivity analysis.
• Develop deep knowledge of supported business areas to deliver pragmatic, effective solutions.
• Translate business needs into technical requirements and collaborate with technology teams to deliver capabilities end-to-end.
• Partner with end users and data product owners during user acceptance testing and ensure delivered functionality meets requirements.
• Partner with quantitative modeling teams to develop and refine statistical models, evaluating performance and effectiveness.
• Validate production results comply with requirements and support ongoing monitoring and verification.
• Translate business requirements into prototype solutions for new requests and enhancements.
• Design, develop, and optimize SQL queries and Python scripts to support data validation and integration with existing systems.

Skills

SQL

Python

A/B testing

Analytical thinking

Communication

Collaboration

Problem solving

Tools

SAS

R

Databricks

AWS

Job description

Join a collaborative team of product, analytics, and engineering experts building models and tools that improve strategic finance decisions. You will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes. This is an opportunity to grow your analytics and machine learning skills while delivering capabilities used across the business.

As a Quantitative Analytics Senior Associate at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle—from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment. You will develop a strong understanding of how finance teams use data and models to make decisions, and you will help ensure solutions perform as intended in production.

Job responsibilities

• Drive business outcomes and decision-making through data and analytics by using enterprise data to inform modeling approaches, understand behavioral patterns, and perform sensitivity analysis
• Develop deep knowledge of supported business areas to deliver pragmatic, effective solutions
• Translate business needs into technical requirements and collaborate with technology teams to deliver capabilities end-to-end
• Partner with end users and data product owners during user acceptance testing and perform testing to ensure delivered functionality meets requirements
• Partner with quantitative modeling teams to develop and refine statistical models, continuously evaluating performance and effectiveness
• Validate that production results comply with business requirements and expected outcomes, and support ongoing monitoring and verification of production processes
• Translate business requirements into prototype solutions for new requests and enhancements
• Design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases
• Manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years 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 with demonstrated ability 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 to drive business outcomes, including SQL and Python
• Strong problem-solving, critical thinking, communication, and organizational skills, with the ability to articulate options and results to senior stakeholders
• Ability to collaborate effectively with technical partners (including data engineering and quantitative modeling) and translate data into concise, actionable recommendations

Preferred qualifications, capabilities, and skills

• Experience supporting large-scale data projects
• Proficiency with additional analytics tools such as SAS, R, or similar
• Experience with Databricks, Streamlit, and Amazon Web Services cloud environments
• Experience driving adoption of artificial intelligence and machine learning solutions, including stakeholder enablement and change management

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Build analytics and machine learning models that improve finance decisions and deliver measurable results across the business.