Quant Analytics Senior Associate - Point of Sales Capabilities

JPMorgan Chase & Co.•Wilmington, DE

20h

About The Position

Step into an exciting role as a Quant Analytics Associate on our Point of Sale Capabilities (POS) team, where you’ll use data and technology to help stop fraud and keep payments safe. If you enjoy solving problems and working with big data, you’ll thrive in this collaborative and innovative environment. As a Quant Analytics Associate Senior within the POS Capabilities team you will join a forward thinking team that seeks to prevent plastics fraud through innovating analytics, advancing machine learning models, and modernizing authorization platforms. Work with cross line of business partners to drive benefits in all aspects of fraud prevention through advancing technology capabilities, identifying new data sources, and improving analytic techniques. The ideal candidate should be a self-driven problem solver that is capable of analyzing big data, understanding complex systems, identifying opportunities, creating solutions and leading large scale projects.

Requirements

MS degree with 5+ years Risk Management or other quantitative experience
Excellent collaboration and partnership skills with proven track record in working well with internal teams and external partners
Proven track record in solving business problems, and/or Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables
Advanced understanding of SAS, SQL, and Python
Proven ability to query large amounts of data and transform the raw data into actionable management information
Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives

Nice To Haves

Strong analytical and problem-solving abilities
Experience delivering recommendations to management
Familiarity with risk analytic techniques
Preferred experience supporting more than one CCB Operations Function/Line of Business

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 new capabilities that support fraud decisioning rules, data models, KPI monitoring and reporting, performance metrics systems and data automation systems
Partner with the Consumer and Community Banking (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 the broader fraud strategy team and cross-functional teams, 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
Stay on top of the industry trends and adopt industry best practices