Quantitative Researcher
BNP Paribas
Hong Kong

In Asia Pacific, BNP Paribas is one of the best-positioned international financial institutions with an uninterrupted presence since 1860.

Currently with over 18,000 employees* and a presence in 13 markets, BNP Paribas provides corporates, institutional and private investors with product and service solutions tailored to their specific needs.

It offers a wide range of financial services covering corporate & institutional banking, wealth management, asset management, insurance, as well as retail banking and consumer financing through strategic partnerships. .

Worldwide, BNP Paribas has a presence in 68 markets with more than 193,000 employees. It has key positions in its three main activities : Domestic Markets and International Financial Services (whose retail-banking networks and financial services are covered by Retail Banking & Services) and Corporate & Institutional Banking, which serves two client franchises : corporate clients and institutional investors.

Asia Pacific is a key strategic region for BNP Paribas and it continues to develop its franchise in the region.

  • excluding partnerships
  • BNP Paribas offers you an exciting career in an international business environment that is fast-paced, diverse and focuses on creating high-value relationships with our clients.

    We offer competitive salary and benefits, as well as a working environment where you’re valued as part of the team.

    https : / / careers.apac.bnpparibas /

    Description :

    Electronic Equities group is responsible for research and development of execution algorithms, underlying mathematical trading models and analytics for equities area in BNPP Markets division.

    The team supports trading desks in all quantitative aspects. Execution algorithms and analytics are offered to BNPP internal trading desks and to external clients through BNPP Cortex Equities offering.

    Key Responsibilities :

    The candidate will be involved in the development of algorithmic trading models and the support of the day to day activities of the Electronic Execution business.

    They will contribute across global initiatives but with a particular focus on APAC markets. The platform includes execution algorithms, real time signals, back testing, machine learning based recommendation models and analytics associated with the measurement of algorithmic trading performance.

    There are significant opportunities for running projects on a regional and global basis.


  • Creative thinker who is driven and self-motivated
  • Good Communication Skills
  • Desire to work in a high-paced, collaborative and team-driven environment
  • 5-10 years’ experience from financial institution
  • Postgraduate (Masters or PhD) in quantitative or technical field highly regarded :

  • Statistics
  • Computer Science
  • Expertise in :

  • Statistics and Machine Learning
  • Forecasting and data mining techniques
  • Linear and non-linear regression analysis
  • Neural networks
  • Experience working with large datasets, tick data experience highly regarded

    Experience building mathematical models for complex real-world problems

    Programming skills :
  • Python
  • Python
  • R (or Matlab / Octave)
  • C++ experience highly regarded (or equivalent OO programming language such as C# or Java)
  • q / KDB experience highly regarded
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