招聘
Required Skills
Python
SQL
AWS
Tableau
Auto Risk Reporting – Associate|Chase Consumer & Community Banking (CCB) | Risk Management About Us: Chase Consumer & Community Banking (CCB) is at the heart of how millions of consumers and small businesses manage their financial lives. From personal banking and mortgages to credit cards, auto finance, and investment advice—we deliver comprehensive financial solutions that matter. Within CCB, our Risk Management function serves as a strategic partner across every line of business, proactively identifying, assessing, and mitigating risks including fraud, credit, operational, regulatory, reputational, and market risk.
The Opportunity: We're looking for a Reporting Associate to join our Auto Risk Reporting Center of Excellence—a high-impact team that powers data-driven decision-making across both Retail and Commercial Auto Portfolios. In this role, you'll sit at the intersection of data, technology, and business strategy—translating complex datasets into actionable insights, automating critical reporting processes, and arming leadership with the accurate, timely information they need to move with agility and precision.
What You'll Do
Reporting & Analytics
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Own and enhance BAU (Business-As-Usual) reporting for Auto Risk stakeholders
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Deliver in-depth portfolio performance monitoring across new originations and existing accounts
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Support BCBS regulatory reporting with rigorous validation and data accuracy checks
Automation & Innovation
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Design and implement automation solutions to streamline reporting workflows
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Lead tech migration initiatives for critical Auto Risk deliverables
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Continuously identify opportunities to improve efficiency and reduce manual effort
Data Integrity & Governance
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Reconcile Risk data against Finance/GL sources to ensure alignment
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Serve as a guardian of data quality—ensuring all outputs are accurate, reliable, and audit-ready
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Support regulatory exams and audits with comprehensive data support
Collaboration & Partnership
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Act as the Auto Risk liaison across products, projects, and technology teams
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Translate business requirements into technical specifications for delivery partners
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Respond to ad hoc data requests with speed and precision
What You'll Bring
Experience & Education
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Bachelor's degree in a quantitative field (or equivalent experience)
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3+ years of hands-on experience in data analytics
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Prior experience in Risk Management, Financial Services, or Auto Lending preferred
Technical Skills
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Proficiency in SQL (Snowflake, Databricks, Oracle, AWS environments)
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Working knowledge of Python, Tableau, and/or Alteryx
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Experience designing automated reporting solutions
Core Competencies
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Exceptional attention to detail with a passion for data accuracy
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Strong problem-solving mindset—you thrive on finding elegant solutions to complex challenges
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Excellent documentation and organizational skills
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Ability to distill complex information into clear, executive-ready communications
Leadership Qualities
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Self-motivated and proactive—you take ownership and run with it
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Collaborative spirit with comfort working across functions and levels
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Confident presence when presenting to senior leadership
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Thrives in fast-paced environments that balance speed with precision
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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