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Chase · 5 months ago

Risk Program Senior Associate

2100 El Camino Real, Palo Alto, CA, 94306, US

Full-time

Onsite

Entry, Mid Level

$135K/yr - $165K/yr

2+ years exp

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. As a Risk Program Senior Associate, you will be responsible for identifying and retooling machine learning algorithms to enhance fraud risk ranking, while collaborating with business teams to leverage machine learning solutions.

BankingFinancial Services

Responsibilities

Identify and retool machine learning (ML) algorithms to analyze datasets for fraud detection in the Chase Consumer Bank

Perform machine learning tasks such as feature engineering, feature selection, and developing and training machine learning algorithms using cutting-edge technology to extract predictive models/patterns from billions of transactions’ amounts of data

Collaborate with business teams to identify opportunities, collect business needs, and provide guidance on leveraging the machine learning solutions

Interact with a broader audience in the firm to share knowledge, disseminate findings, and provide domain expertise

Qualification

Machine LearningData AnalysisPythonBig DataModel DesignInterest in ModelsCollaborationCommunication

Required

Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantitative fields

2+ years of experience with data analysis in Python

Experience in designing models for a commercial purpose using some (at least 3) of the following machine learning and optimization techniques: CNN, RNN, SVM, Reinforcement Learning, Random Forest/GBM

A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed