Full-Time

Quant Analytics Card Finance Senior Associate

JP Morgan Chase

JP Morgan Chase

10,001+ employees

Global financial services with diversified offerings

No salary listed

No H1B Sponsorship

Wilmington, DE, USA

In Person

Category
Quantitative Finance
Required Skills
SAS
Forecasting
SQL
Risk Management
Excel/Numbers/Sheets
Financial Modeling
Requirements
  • Bachelor's or Master's degree in Statistics, Mathematics, Economics, Finance, Engineering, or a related quantitative field.
  • 4+ years of experience in credit risk analytics, multi-year financial forecasting, or model development
  • Proficiency in Microsoft Excel for financial modeling and output presentation
  • Strong proficiency in statistical and financial modeling, including time-series analysis, segmentation, and extrapolation techniques.
  • Hands-on experience with SAS and/or SQL for extracting, transforming, and summarizing large datasets from enterprise data warehouses.
  • Solid understanding of outstanding balances, revolving behavior, sales activity, and NPV and P&L frameworks.
  • Familiarity with model risk management principles, including documentation standards, performance monitoring, and independent review processes.
  • Ability to clearly articulate complex analytical findings to both technical and non-technical audiences, including senior leadership.
  • Strong commitment to data accuracy, reconciliation, and quality control in a regulated environment.
  • Demonstrated ability to work effectively across Risk, Finance, and Analytics functions in a matrixed organization.
Responsibilities
  • Build and maintain multi‑year forecasting models to estimate incremental customer engagement outcomes (outstanding balances, spend, and revolving behavior) driven by credit line management actions.
  • Develop and validate step‑up factor methodologies to translate Year 1 results into Year 2 and Year 3 projections using historical vintages and segmentation frameworks.
  • Design and apply control group approaches (e.g., holdouts, matched pairs) to isolate incremental impacts of credit strategies on customer behavior.
  • Incorporate recency adjustments and business judgment overlays to reflect current portfolio trends, macroeconomic conditions, and strategy changes.
  • Provide core engagement metric inputs (incremental balances, sales‑to‑balance, revolve rates) to Finance for multi‑year NPV and PTI calculations.
  • Support trimester‑based investment review processes with timely, well‑documented forecasts to evaluate profitability of credit strategy decisions.
  • Partner with Finance to align methodologies, reconcile assumptions, and ensure consistency between risk forecasts and financial planning outputs.
  • Perform ongoing performance monitoring by comparing forecasts to actual outcomes across multiple horizons (Years 1–3).
  • Track forecast accuracy using standardized error metrics (e.g., NMAD, MAPE), conduct stability testing of step‑up factors, and refine methodologies when thresholds are breached.
  • Maintain robust model governance, including comprehensive documentation, version control, approvals, audit readiness, and remediation of identified gaps.
  • Collaborate cross‑functionally with Risk Strategy, Finance, and Analytics partners to align assumptions, present results, obtain leadership sign‑off, and support knowledge transfer.
Desired Qualifications
  • Experience with or knowledge of credit card, lending and/or banking industries
  • Experience with Python, Tableau, Alteryx, Databricks, Essbase
  • Experience with cloud-based data platforms (e.g., Snowflake) is a plus.
  • Experience with matched-pair or propensity score matching methodologies for constructing synthetic control groups.
  • Familiarity with credit line management strategies, including proactive and customer-requested line increase programs, and their impact on customer engagement and portfolio profitability.
  • Prior experience supporting model governance reviews or working within a model risk management framework at a financial institution.

A global financial services firm offering investment banking, asset management, private equity, financial services, and consumer banking to individuals and institutions. It works by providing advisory, lending, trading, and financing services through a worldwide network, earning revenue from interest, fees, and trading commissions, and using its data and the JPMorgan Chase Institute to analyze economies. It stands apart from peers due to its size, full-range services across consumer and corporate markets, extensive market access, and in-house data-driven insights. Its goal is to deliver comprehensive financial products with integrity and growth while supporting clients and communities through data-backed analysis and targeted programs.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1959

Your Connections

People at JP Morgan Chase who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • European Chase expansion could unlock retail deposits in France, Spain, and Italy.
  • Saudi securities-lending mandates deepen institutional fees and cross-border market infrastructure relationships.
  • 2026 loan growth expectations above industry average support lending and fee revenue.

What critics are saying

  • European rollout faces heavy regulation and entrenched neobank competition.
  • Stablecoin adoption and tokenized payments threaten JPMorgan's payments economics.
  • Cross-border securities-lending exposure increases operational and reputational risk in Saudi Arabia.

What makes JP Morgan Chase unique

  • JPMorgan spans consumer banking, investment banking, asset management, and payments globally.
  • Chase UK already exceeded 3 million customers and £30 billion deposits.
  • SAB Invest selected JPMorgan for securities lending expertise, risk controls, and technology.

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Benefits

Health Insurance

Flexible Work Hours

Paid Sick Leave

Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

11%

1 year growth

11%

2 year growth

10%
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