jpmorgan chase co nyse jpm is aleading global financial services firm with operations worldwide the firm is aleader in investment banking financial services for consumers and smallbusiness commercial banking financial transaction processing and assetmanagement a component of the dow jones industrial average jpmorgan chase co serves millions of consumers in the united states and many of theworlds most prominent corporate institutional and government clients underits jp morgan and chase brands information about jpmorgan chase co isavailable at our firmwide riskfunction is focused oncultivating a stronger unified culture that embraces a sense of personalaccountability for developing the highest corporate standards in governance andcontrols across the firm business priorities are built around the need tostrengthen and guard the firm from the many risks we face financial rigorrisk discipline fostering a transparent culture and doing the right thing inevery situation we are equally focused on nurturing talent respecting thediverse experiences that our team of risk professionals bring and embracing aninclusive environment chase consumer community banking ccb serves consumers and small businesses with a broad range of financialservices including personal banking small business banking and lendingmortgages credit cards payments auto finance and investment adviceconsumer community banking risk management partners with each ccbsubline of business to identify assess prioritize and remediate risk typesof risk that occur in consumer businesses include fraud reputationoperational credit market and regulatory among others the portfolio profitability modeling team is a center of excellence within ccb card risk modeling responsible for designingand developing machine learning profitability models which will be utilized in corecard strategies such as in line management pricing transaction authorizationetc we focus on leveraging advanced machine learning modeling including ensemblemethods and deep learning to develop component models and optimal decisionengines for revenue growth and loss mitigation ccbriskcard portfolio machine learning data scientist associate we are looking for candidateswith demonstrated expertise in machine learning to join our talented team the candidate will be responsible for endtoendmachine learning model design and development success inthis role requires a strong foundation in machine learning coupled withexperience in big data and distributed computation inthis highly visible role the successful candidate will be able to think likean analytic leader with business acumen collaborate in a teamenvironment and communicate resultseffectively to senior management design and develop machine learning models anddecision support systems to drive impactful decisions for the card business inareas such as credit line and price assignment and ongoing managementtransaction authorization collection etc utilize cuttingedge machine learningapproaches and construct sophisticated machine learning models including ensemblemethods and deep learning architecture on big data platforms manage end to end model development process from data collectiondevelopment validation to documentation by collaboratingwith various cross functional partners in marketing risk finance technologymodel governance etc throughout the entire modeling lifecycle partner with cross functional teams in making strategic choicesand investment decisions communicate effectively to senior leaders on opportunitiesfinancial and process tradeoffs qualifications phd or mastersdegree in computer science statistics mathematics engineering economics orrelated quantitative fields solid understandof advanced machine learning ai statistical learning in