Risk Program Senior Associate - Card Merchant jobs in United States
cer-icon
Apply on Employer Site
company-logo

Chase · 4 months ago

Risk Program Senior Associate - Card Merchant

Chase is seeking a Risk Program Senior Associate to join their Card Risk Modeling team, which focuses on machine learning applications in credit card business. The role involves designing and developing machine learning models to enhance credit decision-making, collaborating with various business partners, and presenting results to senior management.

BankingFinancial Services

Responsibilities

Design and develop machine learning models to drive impactful credit decisions for the card business throughout the credit card lifecycle (e.g., acquisition, account management, transaction authorization, collection)
Leverage cutting-edge machine learning techniques, including deep learning architectures on big data platforms with key emphasis on interpretability and replicability of such techniques
Work closely with the senior management team to develop ambitious, innovative modeling solutions and implement them in production to drive significant business impact
Collaborate with various business partners in marketing, risk, technology, model governance, compliance etc. throughout the entire modeling lifecycle. (development, review, deployment and ongoing monitoring)
Present model result and ad-hoc research to senior leaders

Qualification

Machine LearningBig DataStatistical MethodsPythonData WranglingAnalytical SkillsProblem-SolvingCommunication SkillsTeam Collaboration

Required

Ph.D. or Master's degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering
Exceptional coding skills with at least one-year professional experience in coding (e.g. Python, SAS, Spark, Scala, or Tensorflow) and big data platform (e.g., Hadoop, HDFS, Teradata, snowflake, AWS cloud, Hive)
Solid understanding of advanced statistical methods and machine learning techniques: GLM/Regression, Random Forest, Boosting Trees, Neural Network, Clustering, KNN, Anomaly Detection etc
Strong ability to interpret and form a coherent story with complex data and communicate to a wide range of audience with various degree of technical acumen including senior leadership and executives
Advanced problem-solving skills and exceptional analytical skills

Preferred

Experience in credit card industry with strong business acumen
Experience in interpreting / explaining machine learning models such as XGBoost, GBM etc
Strong ownership and execution; proven experience in implementing models in production
Expertise in data wrangling and model building on a distributed Spark computation environment

Company

Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
linkedin
leader-logo
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
linkedin
Company data provided by crunchbase