Senior Risk Developer

Core Tech Team | HK & Singapore 

About this role

We're in search of a seasoned Risk Developer with at least 6 years of experience in front-office or trading settings at buy-side firms. This position is part of the Core Tech Team and reports to both the Risk Department Head and the CTO, reflecting its crucial role in bridging risk management and technology. With a strong emphasis on risk management technology, Python programming, and distributed systems, this role is perfect for someone who excels in high-pressure environments and has a solid track record in risk-focused software engineering. You'll be hands-on in developing, supporting, and enhancing risk management tools, trading systems, and pricing libraries. A strong understanding of factor models, Barra models, and market risk models is required. A good understanding of FICC markets and Equity markets will be beneficial.

As a Senior Risk Developer, you will play a crucial role in developing and maintaining advanced risk management systems that support our multi-strategy hedge fund operations, encompassing a diverse range of asset classes.

In this role, you will work closely with our quantitative analysts, traders, and risk management team to design, implement, and enhance software solutions that provide real-time insights into market risk exposures.

Key Responsibilities

• Develop and enhance risk management and portfolio optimization tools to support various trading strategies.

• Design and implement sophisticated risk models, including factor models and market risk models.

• Collaborate closely with market risk and quant teams to develop and enhance pricing and risk libraries.

• Implement automated reconciliation and alerting mechanisms to ensure robustness of risk management systems.

• Integrate core risk platforms with various financial vendor systems, particularly RiskMetrics and RiskVal.

• Stay abreast of the latest trends in risk management technology and quantitative finance.

• Collaborate with monitoring teams to maintain system health, troubleshoot production issues, and deploy code fixes or enhancements promptly.

• Take immediate and responsible action for production issues, demonstrating a strong sense of ownership and urgency.

• Foster effective collaboration and communication within the team and across departments.

• Mentor junior engineers, emphasizing the adoption of best practices in risk technology.

• Demonstrate strong ownership and self-drive in executing tasks independently.

• Provide regular updates and insights to both the Risk Department Head and CTO.
  

  
  

Requirements

• Hold a Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or Finance.

• Have at least 6 years of experience in risk-focused software development, ideally in a front-office or trading setting at buy-side firms.

• Some understanding of factor models, Barra models, and market risk models.

• Extensive knowledge of financial instruments and derivatives, including futures, swaps, forwards, and options.

• Possess strong Python programming skills. Familiarity with asynchronous Python will be considered a plus.

• Demonstrate 2-5 years of experience in distributed system development.

• Be skilled in technology infrastructure and automation.

• Familiar with an array of technologies such as Linux, NumPy, Pandas, SQL, Redis, Docker.

• Experience with risk management vendor systems, particularly RiskMetrics and RiskVal.

• Maintain strong communication skills, with the ability to explain complex risk concepts in an understandable manner.

• Team-oriented mindset and willingness to assist researchers less proficient in risk technology.

• Demonstrated curiosity and eagerness to learn new skills and tackle new risk-related problems.

• Be available to work from the office at least 4 days a week.

• Ability to effectively manage priorities and communicate across different departments.

Nice-to-Haves

• Proficiency in at least one JVM language like Java, Kotlin, or Scala.

• Familiarity with Rust programming language.

• Experience in a lean tech team or startup.

• Trade support experience with a focus on risk management.

• Track record of developing complex distributed risk systems or sizable risk applications from scratch.

• Deep knowledge of market microstructures and tick data.

• Experience with Kubernetes and infrastructure-as-code tools like Terraform.

• Advanced knowledge of statistical methods and their application in risk modeling.

• Experience in roles requiring coordination between technology and risk management teams.