Quantitative Risk Analyst

Grow your career as a Quantitative Risk Analyst with an innovative global bank. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 6+ Months
Required Skills & Experience

• Master’s degree in quantitative field (e.g. mathematics, physics, statistics, computer science/computer engineering, financial engineering, etc.).
• 6+ years of risk management experience.
• Solid programming skills and experience with statistical and data analysis, modelling techniques and numerical implementations. More specifically experience in Python/C++, Perl, shell scripts in Linux environment and basic database skills in either Oracle or Sybase/SQL.
• Working knowledge of a compiled language like C/C++/Java.
• Exposure to numerical libraries and data processing.
• Ability for abstraction and conceptualization, reasoning about program behavior at different levels of abstraction from hardware to applications.
• Keen interest in banking and finance, especially in the field of Risk Management.

Desired Skills & Experience

• PhD, a second Master’s degree, CPA, FRM or CFA.
• Experience in quantitative finance or a related field, analyzing large and complex data sets, data reliability analysis, quality controls and data processing.
• Experience derivative pricing and exotic products; risk management practices and procedures; numerical methods; Monte Carlo simulations; statistical hypotheses testing; trading-book products.

What You Will Be Doing

• Partners include various working groups, model developers, risk managers, business clients, model validators, Risk IT, internal and external auditors, and regulators. Engage with partners.
• Develop and implement methodologies, algorithms and diagnostic tools for testing model robustness, stability, reliability, performance and quality control of modeling data.
• Enhance efficiency and effectiveness of implementation of post model development analytics.
• Automate and consolidate ongoing model analysis and the annual model review process across different models.
• Migrate analytics to a production environment as appropriate.
• Support various tasks in response to regulatory and internal risk management requirements.
• Develop, maintain and enhance technical documentation including project plans, model descriptions, mathematical derivations, data analysis, process and quality controls.
• Design and implement a framework for model-driven computations on a graph.
• Design and implement a model library for model performance testing.
• Unit testing, reliability, and improving the quality of compute pipelines.
• Learn about Python, its ecosystem, community, and best practices.
• Generate ideas to improve the model and data platform and assisting in their implementation.

You will receive the following benefits:

• Medical Insurance - Four medical plans to choose from for you and your family
• Dental & Orthodontia Benefits
• Vision Benefits
• Health Savings Account (HSA)
• Health and Dependent Care Flexible Spending Accounts
• Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
• Hospital Indemnity Insurance
• 401(k) including match with pre and post-tax options
• Paid Sick Time Leave
• Legal and Identity Protection Plans
• Pre-tax Commuter Benefit
• 529 College Saver Plan

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.