Strategic Analytics [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

1d•Onsite

About The Position

This role involves analyzing product and credit expansion proposals using internal performance data and external industry benchmarks to quantify incremental credit and reputational risk. The successful candidate will articulate findings and policy recommendations to senior stakeholders, serving as a trusted partner. Responsibilities include developing and maintaining strategy frameworks that integrate loss forecasts, capital pricing, and historical performance to assess profitability and reputational risk exposure. The role also entails leading the risk analytics process by rebalancing vintage curves, identifying risk insights from data, measuring their impact on policy and strategy, and recommending actionable solutions. Additionally, the position requires diagnosing drivers of portfolio performance anomalies, early payment defaults, and roll-rates, as well as researching credit bureau and bank deposit data to understand consumer behavior and its correlation with utilization, liquidity stress, and performance. The role will identify emerging risk trends and translate insights into strategy refinement recommendations. Extracting, transforming, and analyzing structured datasets using performance-optimized queries, ensuring reconciliation across systems, is also a key duty. Collaboration with cross-functional partners from Policy, Product, Finance, and Capital Markets is essential for driving strategy developments and solving business challenges. The role includes reviewing and validating peer analytical work for accuracy and alignment, and providing technical guidance and mentoring to junior team members.

Requirements

Bachelor's degree in Electrical and Electronic Engineering, Statistics, Math, Finance, or related field of study.
Five (5) years of experience in the job offered or as Strategic Analytics, Consultant, Business Analyst, or related occupation.
Five (5) years of experience developing SAS codes for data processing, transformation, and statistical analysis.
Five (5) years of experience utilizing Microsoft Excel for exploratory analysis and summarizing data including filtering, sorting, pivot tables, and advanced formulae including VLOOKUP and conditional logic.
Five (5) years of experience developing executive level PowerPoint presentations with visualizations to communicate analytical findings.
Three (3) years of experience performing advanced data analytics including exploratory data analysis to understand data distributions, anomalies, evaluating relationship between variables, data cleaning and transformation, and feature engineering.
One (1) year of experience developing SQL logic to analyze attributes across datasets using select, join, where, group by, and having clauses.
One (1) year of experience querying enterprise Data warehouses from platforms such as Teradata or Snowflake to analyze data lineage and warehouse schema relationships, validating completeness of data, retrieving large amounts of data, and building datasets supporting analytics.

Responsibilities

Analyze product and credit expansion proposals using internal performance data and external industry benchmarks to quantify incremental credit and reputational risk.
Articulate findings of analysis and trade-offs of policy recommendations to senior stakeholders.
Develop and maintain strategy frameworks that integrate loss forecast, capital pricing, and historical performance to assess profitability and reputational risk exposure from credit expansion.
Lead risk analytics process by rebalancing vintage curve by credits and purpose to measure the cycle impact.
Identify risk insights from data, measure the impact to policy and strategy, and recommend actionable solutions.
Diagnose drivers of portfolio performance anomaly, early payment default, and roll-rates across vintage and products.
Research credit bureau and bank deposit data to identify consumer behavior to analyze the correlation between utilization, liquidity stress, and performance.
Identify emerging risk trends and translate insights into strategy refinement recommendations.
Extract, transform and analyze structured datasets using performance optimized queries, ensuring reconciliation across multiple upstream and downstream systems.
Collaborate with cross-functional partners from Policy and Product to Finance and Capital Market to drive strategy developments, solving business challenges.
Review and validate peer analytical work ensuring accuracy and alignment.
Provide technical guidance and mentoring to junior team members for consistency and best practices among the team.