Head of Risk Platform Engineering

Reports to:

Key Responsibilities

• Design, build, and maintain robust, high-performance microservices and stream processing pipelines to deliver timely data supporting Risk Management and Clearing functions. 

• Develop a deep understanding of the data models and end-to-end data workflows across Risk Management and Clearing functions.

• Build and architect infrastructure for optimal extraction, transformation, and loading (ETL) of external market data feeds.

• Prioritise non-functional requirements including but limited to - HA/DR, high-throughput and data freshness.

• Prioritise automated testing and maintain high standards for code quality and SDLC best practices.

• Contribute to the evolution of the platforms target-state architecture.

• Be an opinionated self-starter who takes a strong sense of ownership and excels at distilling complex requirements.

• Stay current with industry trends to drive continuous improvement in the platform.

• Work within a global team (HK, SG, UK), coordinating closely with Product Managers, Quants, and other Engineering teams.

Qualifications

• 10+ years of professional experience in software development.

• Applicable financial domain knowledge, particularly with options, futures and market data. 

• Experience providing technical oversight for financial risk management related to options and futures.

• Expertise in Java and experience building mission-critical, high-throughput systems.

• Demonstrated experience with stream processing pipelines (e.g. Kafka, Flink) and microservices architecture.

• Hands-on experience with databases (e.g. SQL/no-SQL like Redis, Postgres, MongoDB).

• Well versed in designing data structures, event schemas and database schemas. 

• Strong SQL skills. Strong analytical skills.

• Solid and opinionated knowledge of testing methodologies, coding principles and coding standards.

• Well versed with standard SDLC practices and tooling around build, test, deploy etc.

• Hands on with a strong sense of ownership.

• Ability to operate and thrive in a dynamic startup environment.

• Passionate about knowledge sharing and mentoring.

• Eligibility to work in Hong Kong.

Bonus Experience

• Familiarity with cloud technologies (e.g. AWS, GCP), modern DevOps tooling (e.g. Kubernetes, Docker), and workflow orchestration (e.g. Airflow, DBT).

• Familiarity with big data management and data lake ecosystems (e.g. Databricks, Snowflake, BigQuery).

• Experience with BI technologies for data visualisation (Tableau, Superset) or delivering simple web-based UIs (React).

Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.