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CCB Risk - Applied AI ML Modeling - Associate

3.00 to 9.00 Years   Bangalore   20 Jul, 2022
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

    Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Decision Science within CCB Risk Home Lending Modeling focuses on the innovation and use of traditional and machine learning modeling to identify new opportunities for revenue growth and risk mitigation in the home lending business. We are looking for candidates with demonstrated expertise in statistics and machine learning to join our talented team. The candidate will be responsible for end-to-end model design and development. In this highly visible role, the successful candidate will be able to think like an analytic leader with business acumen, collaborate in a team environment, and communicate results effectively to senior management. Home Lending Modeling - Applied AI / ML (Associate)
    • Design and develop models to drive impactful decisions for the home lending business throughout the customer lifecycle (e.g., acquisition, pricing, collection, and recovery)
    • Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production
    • Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)
    Basic Qualifications
    • Ph.D. or Master s degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering
    • Demonstrated experience in designing, building, and deploying production quality models
    • At least 3+ year of experience and proficiency in coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive)
    Preferred Qualifications
    • Ph.D. in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering
    • Experience in interpreting machine learning models is a plus
    • Strong ownership and execution; proven experience in taking models to production
    ,

Keyskills :
source system analysisenvironmental impact assessmentbig dataauto financemodel designsmall businessrisk managementrisk mitigation

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