Fraud Analytics Quant: POS ML & Risk Modeling

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health care coverage

On-site health and wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. is seeking a Quant Analytics Associate for its Point of Sale Capabilities team in Columbus, OH. The role focuses on using data and technology to prevent fraud, advance machine learning models, and modernize authorization platforms.

You will work with cross-line-of-business partners to drive benefits in fraud prevention, identify new data sources, and improve analytic techniques. The ideal candidate will be a self-driven problem solver capable of analyzing big data, designing

Qualifications

• MS degree with 3 years Risk Management or other quantitative experience
• BS degree with minimum 5 years Risk Management or other quantitative experience
• Proven track record in solving business problems, and/or Project Management Skills — well-organized, structured approach.
• Advanced understanding of SAS, SQL, and Python

Responsibilities

• Understand the full lifecycle of a point of sale transaction, identify improvement opportunities and execute on them
• Contribute to key technical projects by making design recommendations and ensuring that all business needs are met
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions
• Partner with the CCB Risk Modeling team to advance our machine learning models by improving modeling techniques, identifying new variables, and improving the model update cycle
• Seek to improve internal analytical techniques and introduce best practices to help improve on key business metric and the ability to work collaboratively with cross-functional partners to understand and address key business challenges
• Identify business opportunity by performing well thought analysis – data mining, ensuring data integrity, synthesizing, and communication findings to senior management
• Provide clear and concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management, including Interpreting large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities as well as performing ad hoc analysis and deliver updates on key projects to leadership teams

Skills

SAS

SQL

Python

Data analysis

Communication

Education

MS degree in a quantitative field

BS degree in a quantitative field

Job description

JPMorgan Chase & Co. is seeking a Quant Analytics Associate for its Point of Sale Capabilities team in Columbus, OH. The role focuses on using data and technology to prevent fraud, advance machine learning models, and modernize authorization platforms.

You will work with cross-line-of-business partners to drive benefits in fraud prevention, identify new data sources, and improve analytic techniques. The ideal candidate will be a self-driven problem solver capable of analyzing big data, designing