Quant Researcher – Stat Arb / Alpha Capture **Remote Friendly** at Kepler Fi (Singapore) (allows remote)

Overview  

• • We have an exciting opportunity for a skilled quantitative researcher to join an ambitious multi asset class project spanning quantitative research, alpha capture and optimization.

 

• • This project is genuinely groundbreaking, and offers a startup-like environment and working culture with the stability of being backed by one of the world’s largest institutional investors.

 

• • This is an exciting opportunity for the right researcher to research and implement cutting edge techniques in optimization, statistical prediction and machine learning.

 

• • ** REMOTE FRIENDLY ** this is a hybrid team, and your role can be based either in our Singapore office or remotely (Europe or Singapore time zone)

  In This Role You Will  

• • Conceptualize innovative ideas, methods, and/or models and efficiently implement in code

 

• • Undertake challenging quantitative research by applying sophisticated and complex statistical and machine learning techniques to fundamental and alpha capture datasets

 

• • Work with a global team of experienced researchers and portfolio managers with track records from brand name top tier quantitative investment firms

 

• • Apply a process driven focus on researching, developing and implementing internal Alpha Capture strategies

 

• • Report directly to experienced Portfolio Manager

  Application Process:   Applicants are first screened on their academic and professional record, and progress through a technical interview, followed by online testing, and an interview with senior research team members. All applicants are evaluated on problem solving, raw intelligence, creativity, research experience, programming/technical skills and overall general fit.

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