Quant Model Implementation Role - BFS

Quant Model Implementation

Job Description:

About this role:

This role includes model testing, development of libraries, analytic framework design, data infrastructure construction and maintenance. Liaising with onshore partners, working in collaboration and strong partnership with model developers and various other stakeholders.

Functional Responsibilities:

Duties include, but are not limited to:

- Model tests, library development, analytic framework design, analytic data infrastructure construction and maintenance, and relevant system implementation

- Working in close partnership with model developers, model users, risk technology and other stakeholders

- Perform highly complex activities related to design, development, implementation and documentation tools & infrastructures for quantitative risk models analytics

- Participate in the discussion related to analytical strategies, modelling methods workflow, analysis and testing procedure and operation process

- Collaborate and consult with model developers, model users, risk technology experts

Essential qualifications/ Market skill set:

- 3+ years of quantitative analytics programming experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education

- Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics or computer science

- Programming skills using Python/SQL/Excel/Java/R

Preferred Skills & Abilities:

- Education/experience in quantitative areas

- Strong analytical skills with high attention to detail and accuracy

- Experience in quantitative computing system and database development is preferred

- Knowledge in financial products and market and/or counterparty risk