Project Intern, Quantitative Strategy and Performance Analytics

Found in: Talent SG C2 - 1 week ago


Singapur, Singapore TEMASEK Full time

Department/Section:  Quantitative Strategy and Performance Analytics (Quantitative Strategy) 
Position: Project Intern, Quantitative Strategy and Performance Analytics (Quantitative Strategy)

Period: January 2024 to December 2024 (min. Full-Time 6 Months OR Part-Time 4 Days/Week for 6 Months) 

Overview of the Team 

Our Portfolio Strategy & Risk Group (PSRG) actively guides the firm's investment activities and drives sustainable returns, while protecting the portfolio and the institution. The group actively explores overlay and alternative portfolio strategies to enhance our portfolio returns. 

The Quantitative Strategy team is a part of PSRG and supports its activities through 3 key areas: (1) Building a recurring income portfolio, (2) Quantamental investing to complement the firm’s fundamental bottom-up investing; (3) Alpha generation and portfolio construction, where the team looks at several strategies to enhance risk-adjusted portfolio returns. 

Roles & Responsibilities 

The intern will assist the team in building up the infrastructure for quantitative analysis and support ongoing research activities. Specific responsibilities can include: 

Automate signal generation and tracking of trading ideas in the research phase. Work with team to deploy previously tracked signals to live portfolio 

Assist with building infrastructure to maintain quantitatively managed portfolio 

Build dashboards to monitor market and portfolio performance 

Assist with signal research activities leveraging traditional and alternative data sources 

Qualifications/Requirements

Pursuing a Bachelor’s or Master’s degree in a quantitative field (such as Financial Engineering or quantitative subjects like statistics, math, hard sciences with a demonstrated interest in Finance) 

Prior work experience in finance (sell-side or buy-side) or quantitative investing at buy-side firm will be advantageous

Programming (python preferred) and statistics skillsets are required 

Please state your availability clearly in your resume/CV (Start date, End date) 



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