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Core Pricing and Risk Platform - Senior C++ Developer at Qube Research & Technologies (Hong Kong)

Qube Research & Technologies· Hong Kong·

Job description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an exceptional Software Engineer to be an integral member of the Core Platform team. We work closely with traders and risk managers to provide real time and end of day Pricing and Risk information for all trading activity within QRT. This position has high visibility across the business and exposure to all parts of the trading lifecycle. This position requires a commitment to effective problem solving, strong technical skills, good attention to detail and excellent communication skills.

Your future role within QRT

  • Key member of the core technology team building and enhancing high throughput Linux based services
  • Integrating and maintaining pricing models for trading and risk calculation within the core technology platform
  • Potential to work with other services in the platform like order, trade, position managers, product reference and market data systems
  • Working closely with pricing quants, quantitative developers, traders and operations staff to design and develop cutting-edge systems to keep QRT at the forefront of its field
  • Working in primarily in C++ and Python
  • Direct interaction with risk managers and trading desk

Your Present Skillset

  • 4+ years of experience of a front or middle office role
  • Expert in low latency, high throughput Linux development using advanced C/C++, STL
  • Key experience in designing and implementing multithreaded and distributed systems
  • Experience working with pricing models is highly desirable
  • Good knowledge of Equities, Futures, Options, Swaps asset classes highly desirable
  • Good knowledge of execution lifecycles and instrument lifecycles (such as corporate actions, settlement, bond coupons, swap resets) is highly desirable
  • Advanced knowledge of distributed network architecture
  • Proficient with Linux / GCC development toolchain and Linux Red Hat OS is essential
  • Experience with QT/WX/MFC GUI Frameworks nice to have.
  • Team player with good communication skills

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Why work at Qube Research & Technologies

  • Compensation & Career Growth: Highly competitive pay. Interns can earn around $12k per month. Over 40% of staff are in a deferred compensation plan with exposure to fund performance. Glassdoor rating of 4.1/5.0, with compensation (4.0) and career opportunities (4.1) as top highlights.
  • Culture & Demographics: Young, high-performance culture (74% of staff aged 40 or under, 38% aged 30 or under). 90% of staff reported good team morale in an internal survey. Described as a "fertile ground for experimental research."
  • Work Environment: Hybrid/office-based depending on role and location. Offices in London (HQ), Paris, Hong Kong, Singapore, New York, Chicago, Dubai, Mumbai, Geneva, and more. New London office in Victoria.
  • Notable Perks: Deferred compensation plan with fund performance exposure. Interns can earn around $12k per month. Strong focus on work-life balance initiatives.
  • Engineering Culture: Heavy emphasis on technology (Python, C++, C#, Snowflake, FPGA, low-latency systems, MLflow, Kubernetes). 22% of staff are in Research roles, 6% in Technical roles. Strong support for coding initiatives and academic projects in maths and science.

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