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Urgent requirement for Risk - Machine Learning Modeling - Associate

3.00 to 5.00 Years   Bangalore   24 Jan, 2023
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

    As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. 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 designrisk managementrisk mitigationcomputer science

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