Posted on 2021-11-15
Compagnie d'Investissements et de Gestion Privée (Hong Kong) Limited

Quantitative Engineer Intern

Compagnie d'Investissements et de Gestion Privée (Hong Kong) Limited

Private and Investment Bankers since 1964. CIGP Group, built by entrepreneurs, is an independent global advisory firm that offers a one-stop-shop platform made for entrepreneurs, business owners and families who are looking for trusted partners capable of delivering institutional grade solutions to their needs.

Our activities cover wealth and asset management, as well as investment banking services to a sophisticated and international clientele, looking to develop and invest in Europe and Asia. Over the last 3 years, we developed our proprietary AI-based quantitative investment framework leveraging the power of big data to identify investment opportunities.

We are looking for a Quantitative Engineer in our Hong Kong office, starting as soon as possible for 6 months as an intern (with the possibility to be converted into a full-time role), to assist in the continuous improvement of our quantitative investment framework. The candidate shall have a curious, open, and flexible mind, possess excellent mathematical and programming skills and demonstrate a strong level of responsibility. They must be keen to analyze financial datasets and instruments with statistical and machine learning tools in combination with human insights to help answer significant investment problems. Our entrepreneurial culture fosters candidates which seek to pursue opportunities on their own initiative.


The Quantitative Engineer will work closely with the Quantitative Research team which continuously pursues new performance-enhancing opportunities to enrich our investment framework. Positioned between Quantitative Research and Software Engineering, the role is an excellent opportunity for candidates looking to further develop their skills within an entrepreneurial and hardworking environment. The candidate will get to challenge existing models and assumptions while having the opportunity to make an impact from day one. 


  • Analyse the current strategy’s behaviour under various market conditions and provide recommendations
  • Identify improvement opportunities and inefficiencies in the backend setup to reduce computation time in a cost-conscious/efficient way
  • Research and analyse potential new initiatives to improve the existing models
  • Assist in the deployment and maintenance of a Python-based production environment
  • Provide various support to the team on other related tasks.

Required Skills and Talents:

  • Completed a Bachelor’s degree in Computer Science, Mathematics, Statistics, or another highly quantitative field, Master’s degree is a plus
  • Excellent knowledge of mathematics, probability, and statistics (machine learning, time-series analysis)
  • Experience creating predictive models, working with large data sets and time series
  • Excellent Python skills and proficiency with relevant machine learning libraries: Tensorflow/PyTorch/Keras
  • Experience with NoSQL databases (e.g., MongoDB) and distributed computing (e.g., Dask)
  • DevOps experience including review, testing, check-in, and release processes is a plus
  • Efficient with a strong attention to detail, quality, and scalability
  • Enthusiasm to rapidly learn new technologies and skills
  • Good team player, highly flexible and always willing to deliver high quality work, exceed targets/goals set while meeting deadlines.
  • Open to criticism, altruist, and strong ethical standards (respectful, trustworthy, transparent & honest) are essential traits.
  • Strong written and verbal communication skills with ability to present information clearly and concisely
  • Full working proficiency in English (reading, writing, and speaking). Any additional language is a plus.

To apply 

Please go to and apply for the “Quantitative Engineer Intern" job offer by uploading your: 

Updated Curriculum Vitae (CV) with expected salary and availability;

Reference letters from previous employers (if any).

Only applications that have fully completed the application process on our website would be taken into consideration.

We are an equal opportunity employer and welcome applications from all qualified candidates. Every application will be treated in the strictest confidence. Personal data provided will be used for recruitment purposes only. 


Applicants who are not invited for interview within 10 weeks may consider their applications unsuccessful. Personal data of unsuccessful applicant will be destroyed within 12 months. 

Under the Personal Data (Privacy) Ordinance, you may request access to, and/or correction of your personal data in relation to your application. If you wish to do so, kindly reach out to us by email.

More job information
  • 11,000 - 14,000 / month
  • 5-day week
  • Discretionary bonus
Job Function
  • Central
Employment Term
  • Internship
  • 0 year - 1 year
Career Level
  • Entry level
  • Degree
  • Master's degree