Associate (602)
JPMorgan Chase & Co
Bangalore East, KA, IN
4d ago

JPMC How We do Business’ Principles

JPMorgan Chase & Co. has earned a reputation as an institution that maintains high standards of transparency and accountability.

Building and protecting that reputation requires commitment from everyone to make our firm the best it can be.

In addition to fulfilling the skills and qualifications required for this role, the ideal candidate should possess the following personality traits :

  • Respect
  • Community Awareness
  • Overview :

    As a member of Consumer and Community Banking (CCB) Fraud Modeling team, the individual will be responsible for :

    Designing, developing, implementing, and validating statistical models / segmentations / strategies for CCB risk, providing analytic support and developing new criteria and / or strategies for CCB fraud risk management.

    The responsibilities include compiling appropriate data, applying multidimensional data aggregation, performing profile analysis and evaluating impacts using optimization and / or classification algorithms.

    Analyze and interpret financial data using SAS and other statistical software in UNIX environment.

    Partner with internal teams to implement models / segments / tools into system and to support business execution and / or analytics on revenue growth and loss control will be responsible.

    Provide and present model results, insights and recommendation to senior management and partners using MS Office (i.e. PowerPoint, Word, and Excel).

    JPMorgan Chase is an equal opportunity and affirmative action employer M / F / D / V.

    Required Qualifications :

  • Minimum of 8 years of relevant analytics / modeling experience. Financial industry experience in credit card / debit card.
  • Advanced degree (master's or above) in a quantitative subject, such as Mathematics, Operations Research, Statistics, Economics or Finance.
  • Must have in-depth knowledge in applying regression methods, classification / decision tree algorithms, sequencing / association tools, pattern recognition and / or other fraud detection techniques for credit risk management decisions.
  • Strong data handling, interpretive, and problem solving skills with the ability to process large volume of data and efficiently derive actionable results taking into consideration operational aspects and risk impacts
  • Experience in SAS and SQL in UNIX environment, database such as ORACLE / TERADATA
  • Excellent inter-personal and communication skills (both written and oral) are required, as the candidate will collaborate in a project-
  • oriented environment in a matrix set up and present results to internal business clients and senior management.

  • The candidate should possess an understanding of the risk management practices of consumer lenders
  • The candidate should be able to handle projects with a minimum of oversight and supervision and should be able to make contributions to the group's knowledge base by proposing new and valuable ways for approaching problems and projects.
  • Apply
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