***Quant / Python Developer - Equities Arbitrage / Fixed Income Strategies / Quantitative Strategies - Hong Kong***

My client is looking for candidates to join their Risk Model Research Technology Team, where they will be in-charge of developing equity portfolio analytics frameworks.

Responsibilities:

- Work with portfolio research team on the development and integration of new analytics models into the firm’s delivery platforms

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

- Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline, re-designing infrastructure for greater scalability, etc.

- Support and run processes for equity portfolio research and risk management

- Build expertise in Barra and proprietary factor risk models

Skills Required:

- Candidate must have a minimum of 4 years of professional data engineering experience ideally at a top tier technology/fintech companies.

- Strong working knowledge of software design including algorithms and object oriented design

- Advanced Python programming (must have 3+ years of professional development experience on topics like OOP etc.).

- Advanced working knowledge of SQL ; 3+ years of professional development experience

- Experience with Distributed Computing and System Design

- Experience in R programming language is a plus

- Good team player with a strong willingness to participate and help others.

They offer:

• Excellent compensation  driven by the business and profits – exceptional upside for rock stars
• Very strong medical and benefits package
• Awesome working environment (nice offices, dress down, good working hours)

If you are interested in this position, or would like to explore other opportunities within banking and finance technology, please send your detailed resume to [via CTgoodjobs Apply Now ] or call +852 55252105 for a confidential discussion.

BAH Partners is the leading supplier of the best finance technology talent for most of Hong Kong's top-tier financial institutions.

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