Assoc /AVP, Quantitative Strat (Portfolio Optimisation & Implementation), Total Portfolio Solutions

Singapore, SG

GIC Private Limited

We are driven by a common purpose – securing Singapore’s financial future.

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GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

 

Total Portfolio Solutions

The Total Portfolio Solutions (TPS) group optimises the performance of the GIC Portfolio by managing top-down cross-asset investment strategies and rebalancing the portfolio. This includes overseeing alternative investment strategies and quantitative solutions to maximise the impact of the total portfolio. 

 

What will you do as an Assoc/AVP, Quantitative Strategist (Portfolio Optimisation & Implementation), Total Portfolio Solutions: 

  • Generate investment insights to drive better investment decisions and accelerate time to insights for the business
  • Conduct investment research and quantitative analysis supporting all stages of the portfolio implementation process, e.g. model optimization, pre-trade cost modelling, post-trade analysis
  • Work with model/execution researchers, portfolio managers, traders, to ensure efficient implementation of portfolio strategies
  • Develop framework for trading analytics, monitoring and reporting

What qualifications or skills should you possess in this role?

  • Bachelor’s or Master’s degree in Engineering, Computing, Mathematics, Statistics with exposure to financial markets
  • 2-5 years with similar roles and experience in the industry
  • Relevant experience in portfolio optimization, quantitative research, trading workflows, transaction cost analysis, generation of insights from transactions and market data
  • Knowledge of financial instruments, including equities, fixed income, derivatives
  • Strong programming skills in Python or R and experience in data analysis libraries

 

Work at the Point of Impact

We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

 

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

 

GIC is an equal opportunity employer 
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please email grphrodtaops@gic.com.sg at any point of the application or interview process if adjustments need to be made due to a disability.

 

Learn more about our Total Portfolio Solutions Department here: 

https://gic.careers/departments/total-portfolio-solutions/

 

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Tags: Agile Data analysis Engineering Mathematics Python R Research Statistics

Region: Asia/Pacific
Country: Singapore

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