Quantitative Analyst



Manulife Financial

Risk Analyst

The Modeling and Quantitative Analysis group within the Corporate Risk Management department of Manulife Financial has an opening for a highly motivated individual with strong quantitative skills and a working knowledge of financial markets. Candidates with educational backgrounds in actuarial science, statistics, or a related discipline are encouraged to apply.

The Modeling and Quantitative Analysis group is responsible for creating integrated stochastic asset return scenarios for use in all pricing, valuation, and capital determination applications across the company. This multifaceted responsibility requires that the group exercise good judgment in model selection, parameter selection, and software development in order that the scenarios reflect both historical norms and future potentialities. The group is also responsible for setting long-term economic assumptions, vetting stochastic models, and providing consulting services on modeling issues to clients throughout the organization.

Depending on the background and ability of the candidate, he/she has an opportunity to be involved in all of the following:

• Review of investment model assumptions used in pricing and valuation within each business unit

• Model review

• Quality control for generated scenarios

• Software development and testing

• Preparation of documents required for regulatory and audit purposes

Candidates for this position must be comfortable dealing with clients from a wide range of backgrounds and be able to explain sophisticated modeling concepts to non-technical audiences as required.

Skill Requirements:

• Excellent quantitative skills, particularly statistics

• Working knowledge of stochastic modeling techniques, option pricing theory, and financial market instruments

• Proficient in programming (knowledge of Visual Basic is an asset)

• Excellent communications skills

• Attentive to detail

Educational Requirements:

• Graduate or undergraduate degree in a quantitative discipline (e.g., mathematical finance, statistics, actuarial science, etc.)

• Demonstrated interest in stochastic modeling and the financial markets

To apply:

• Email resume to Michael Bean at michael_bean@

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