Index & Quantitative Research Role - BFS

Index and Quantitative Research

Job Description :

- Support clients' teams in implementing and back-testing annuity-based retirement solutions in Python / VBA

- Develop and maintain tools / models in Python / VBA

- Run sanity checks on models and provide customizations to client requests

- Manage sub-projects and timelines within the main project

- Respond to ad-hoc client requests

- Design and implement new checks and controls according to the changing client requirements

- Provide ideas on aspects such as financial and quantitative concepts, implementation of controls, and framework designs

Skill Set Required :

- Strong quantitative, analytical, and problem-solving skills

- Deep knowledge and understanding of Python and VBA are necessary

- Strong interest in quantitative finance and understanding of the global economy and fundamental factors affecting the valuation of various asset classes are desirable

- Knowledge of market data providers, such as Bloomberg and Reuters, is desirable

- Ability to manage / collaborate with team members working at different locations

- Comfortable in interacting with international clients

- Ability to identify and solve issues effectively on time, and have an eye for detail

- Knowledge of stochastic processes, derivatives pricing, and financial optimization is essential

Education and Experience :

- CFA charter holder or master's degree in Financial Engineering with Bachelor's degree in Applied Mathematics/Physics or Engineering

- Minimum 2-5 years of experience in the financial services industry, preferably in asset management or quantitative investment strategies

Compensation :

- To be decided on a case-by-case basis, pegged with the best in the industry