Quant Analytics Senior Associate

Aumni; Ohio; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive total rewards

Health care coverage

On-site health centers

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase seeks a Quant Analytics Associate Sr to advance AML/KYC data strategy. You will design datasets used by analysts, AI agents, and NLP tools, and collaborate with cross‑functional teams to transform customer, transaction, and activity data into governed, AI-ready assets.

The role requires strong SQL, ETL experience, Python, and a knack for problem solving. You’ll work on scalable data pipelines, AI-assisted tooling, and governance-compliant analytics solutions.

Qualifications

• Bachelor’s degree in a quantitative field required; Master’s preferred.
• Strong SQL and Python proficiency with experience in data tooling.
• Experience with data mining, statistics, ML, and analytics methods.
• Ability to manage multiple projects and deliverables in a fast-paced environment.

Responsibilities

• Design, build, and maintain analytically ready AML/KYC datasets.
• Develop ETL processes to transform raw data into structured data products.
• Create metadata, data dictionaries, and lineage documentation for AI-readiness.
• Use Python/SQL for data extraction, profiling, validation, and optimization.
• Apply AI-assisted code generation tools to speed development and automate tasks.
• Collaborate with analytics and AI teams to support model development and NLP queries.
• Implement data quality checks, reconciliation, and validation frameworks.
• Prepare executive-ready presentations summarizing data findings and risks.
• Provide production support and communicate data changes to stakeholders.
• Ensure compliance with controls, governance, and regulatory requirements.
• Contribute to innovation in data modernization and AI enablement.

Skills

SQL

Python

Alteryx

Tableau

APIs

Data governance

Data modeling

Machine learning

Data exploration

Education

Bachelor's degree in quantitative field

Master’s degree preferred

Tools

Alteryx

Tableau

Job description

At JPMorganChase, we are seeking team members who are eager to modernize how data is used to identify financial crime risk and improve customer due diligence outcomes. As a Quant Analytics Associate Sr within the Data & Analytics organization supporting AML/KYC operations, you will help move the team beyond traditional Excel-based, retrospective reporting toward proactive and scalable analytical solutions that identify emerging risks, data quality issues, process gaps, and customer trends earlier in the case lifecycle.

In this role, you will focus on designing, building, and maintaining analytically ready datasets that can be used by analysts, operational stakeholders, AI agents, and natural-language query tools. You will partner closely with AML/KYC operations, product owners, data owners, technology teams, and other analytics professionals to transform customer, transaction, and activity data into governed, well-documented, AI-ready data assets.

The successful candidate will bring strong SQL expertise, practical ETL experience, comfort with Python, curiosity about AI-assisted code creation, and a strong ability to independently investigate ambiguous data problems. This role is ideal for someone who wants to combine hands‑on data engineering, analytics, controls awareness, and business problem solving to help modernize AML/KYC decision support.

Job Responsibilities:

• Design, develop, and maintain analytically ready datasets for AML/KYC operations, including datasets that support proactive monitoring, case prioritization, customer review insights, trend detection, and data quality surveillance.
• Build scalable ETL and data transformation processes that convert raw source-system data into reliable, well-structured, reusable data products for the broader Data & Analytics team.
• Develop AI-ready metadata, business definitions, lineage documentation, data dictionaries, and semantic layers that enable AI agents, self-service analytics, and natural-language querying.
• Use Python/SQL as the primary tool for data extraction, transformation, profiling, validation, and performance optimization across large and complex datasets.
• Apply Python and AI-assisted code generation tools to improve development speed, automate repetitive analytics tasks, create reusable utilities, and support exploratory data analysis.
• Collaborate with analytics and AI teams to ensure datasets are structured for downstream model development, AI-agent orchestration, retrieval-augmented workflows, and natural-language business questions.
• Create data quality checks, reconciliation routines, exception monitoring, and validation frameworks to ensure ARDs are accurate, complete, timely, and fit for purpose.
• Prepare clear documentation and executive-ready presentations summarizing data findings, ARD readiness, development progress, data quality risks, and recommended next steps.
• Provide ongoing production support for data assets, including troubleshooting data issues, answering stakeholder questions, managing enhancements, and communicating impacts of source-system changes.
• Ensure analytics, data transformation, and AI-enablement activities comply with applicable controls, model/data governance expectations, privacy requirements, and regulatory standards.
• Contribute to a culture of innovation by proposing new approaches for data modernization, metadata enrichment, AI enablement, and proactive risk identification.

Required Qualifications, Skills and Capabilities:

• 3+ years of related experience.
• Bachelor's degree in a quantitative or related field required; Master’s degree preferred.
• Excellent critical thinking and problem-solving abilities.
• Proficiency in SQL and Python.
• Experience with Alteryx and Tableau preferred.
• Knowledge on how to integrate with APIs preferred.
• Strong project management skills with the ability to manage multiple projects simultaneously.
• Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods.
• Robust data management skills with a focus on ensuring data quality and organization.
• Demonstrated ability to independently make the decisions and judgements necessary to deliver quality analytics solutions.
• Effective communication skills, both written and verbal.
• Strong soft skills, including adaptability, emotional intelligence, and conflict resolution.
• Strong adherence to controls and regulatory requirements.
• Commitment to continuous learning and professional development.

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 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.

Enhance, transform and load data to support AI agents, and natural-language query tools.