Quantitative Risk Manager

  • Location:

    Dublin City Centre

  • Contact email:

  • Sector:

    Banking & Finance

  • Contact phone:


  • Job type:

    Full Time

  • Job ref:


  • Salary:


  • Published:

    30 days ago

  • Contact email:

Job description

Quantitative Risk Manager
Permanent Role
Negotiable DOE
Dublin City Centre

At Sigmar we are currently working with our client based in Dublin City Centre that has a vacancy for a Quantitative Risk Manager. You will be a part of advanced team that values innovation and creativity and this role presents a great opportunity for any individual who has the capability to approach a business problem in an innovative way, identify and build a great solution.


• Predictive modelling to estimate the likelihood of borrowers meeting their repayment obligations
• Using data analytics and pattern recognition techniques to identify potentially fraudulent applications
• Implementing optimisation algorithms to determine risk appetite and pricing for our portfolios
• Working closely with our colleagues across the Business, the Chief Data Office, Credit Risk and IT to build, implement and monitor automated strategies


• A bachelor’s degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics, operations research
• 6+ years’ experience working in one of the following areas: predictive modelling, fraud analytics or decision optimisation algorithms
• Advanced experience of SAS or other analytics languages (e.g. R, Python, Matlab)
• Advanced knowledge in extracting, transforming, and cleaning data for modelling purposes
• Knowledge of banking and in particular risk adjusted return methodologies would be advantageous
• Experience mentoring and training junior team members, along with managing their day to day tasks
• Strong ability to build relationships and communicate with key stakeholders

If you have the relevant experience and feel this role is for you, please apply now
T: +353 1 9619721

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