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  • Job Context

    We are looking for analyst in Credit and Consumer Credit risk domains with focus on predictive modeling and analytics, risk analysis and reporting as well as data analysis and data mining roles with focus on risk and behavioral scorecard development.

  • Job Responsibility

    • Develop predictive models leveraging a range of regressions and machine learning tools and techniques
    • Translate business problems into statistical problems, and develop statistical models to support business needs, such as Net Promoter Score, pricing policy, cross-sell targeting, Consumer Credit Risk Modeling, Portfolio Risk Modeling, scoring, scorecard building, Credit Risk Analysis
    • Extract credit and retail banking transaction data, conduct exploratory data analysis, and address common data issues like missing and extreme values
    • Derive customer insights through predictive modeling to address business needs and recommend solutions
    • Design data-driven marketing initiatives to manage customer relationship, drive sales, enhance executions, and increase productivity
    • Assist or drive the full project lifecycle including requirements gathering, functional design, installation, user acceptance testing, issue resolution and production implementation
    • Analyze source systems and provide source to target mapping for the data warehouse
    • Analyze business requirements for new predictive models and reports to be developed
    • Use advanced analytics to assess portfolio performance, identify business opportunities, and drive critical business decisions
    • Design, development and deployment of self service reports, scorecards and dashboards based on analytical data

  • Educational Requirement

    • A degree in computer science, engineering, mathematics with a minor in economics, finance or a related field; MBA or MS degree preferred
    • A minimum 2+ years of relevant corporate work experience working on programming, data analytics, quantitative modeling
    • Banking experience is a plus
    • Programming skills in prototyping languages like Python
    • Statistical skills and experience with languages like R
    • Ability to work with large databases and devising queries using SQL
    • An understanding of the data used and the associated inherent issues in Commercial Banking, Retail Banking, or Asset Management a plus
    • Strong knowledge of and experience in executing all phases of the technology life cycle, based on proven project management and testing methodologies.

  • Experience Requirement

    At least 2 year(s)

  • Others Benefits

    Competitive

Dead Line Expired

Jobs Information

  • Company Name

    Sibuwa
  • Job Category

    Credit Risk
  • Job Position

    Quantitative Analyst
  • Job Type

    full time
  • Salary

    Negotiable
  • Job Location

    USA
  • Deadline

    09 Feb 2023

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  • +1-212-220-7213