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Financial Engineer

Job Description and Requirements

Job Description 

Competencies and Skills

  • The Financial Engineer has a strong focus on financial instrument modeling, scenario based analysis, and standard risk methodologies. Experience and comfort with these techniques is important
  • Knowledge of the regulatory environment and requirements for banks, insurance and asset management firms (e.g. Solvency II, BASEL, APRA etc.)
  • Topics of expertise required include derivative pricing, stochastic calculus, interest rate models, optimization, credit risk models, and regulatory requirements
  • Strong and proven investigation and problem solving skills
  • Strong presentation and communication skills; the role requires delivering complex presentations to varied audiences ranging from quantitative experts and technology consultants to senior management of financial institutions
  • Related financial industry experience working in a collaborative, team-oriented environment and experience in consulting or client services role is a plus
  • Practical knowledge of investment markets, financial market conventions, and risk management practices. Previous risk analysis experience highly desirable
  • Familiarity and comfort with a technical environment involving Unix, shell and Perl
  • Scripting, Java and C++ language development and Oracle database infrastructure
  • English: Fluent

Roles and Responsibilities

  • Involvement will be required at all stages of project implementations, from definition through to acceptance testing while working within a multi-disciplinary team of integration engineers, project managers and other financial engineers
  • Defining client functional requirements. These include reporting, pricing, calibration, optimization, scenario analysis. This includes consulting with clients to understand risk best practices and methodologies and formulate proposals of creative solutions for addressing functional gaps
  • As part of deployment, define and build instrument modeling specifications, scenario methodologies, reporting. Liaise with clients to ensure full acceptance of all results via validation exercises as required

Required Technical and Professional Expertise 

Education

  • University degree in the field of Economics, Finance, Mathematics, Statistics or other quantitative discipline
  • Advanced degree in Financial Engineering or Mathematical Finance highly desirable.
  • CFA, PRMIA or FRM designation(s) beneficial

Preferred Tech and Prof Experience