ROLE OVERVIEW:



BAM is seeking an experienced Developer with expertise in building, supporting and integrating globally accessible quant trading infrastructure. The candidate will interact with the quantitative researchers and portfolio managers to outline requirements for optimization and building requisite toolkits. The role entails full lifecycle development including requirement, architecture, implementation, testing, and release. The optimal candidate will have a minimum of 5+ years' experience at a financial services organization with an exceptional technical background and in-depth knowledge of quantitative trading systems including high frequency strategies, market data and execution. This person will need to be a strong communicator, able to multi-task and have the ability to excel in a fast-paced trading environment. Key responsibilities include:

• Develop and maintain our in-house Equity Vol systematic trading platform and infrastructure.

• Work closely with business users and platform developers to deliver cutting-edge software solutions

• Design a robust holistic process for scheduling and monitoring resources across the platform that integrates with existing proprietary applications

• Partner with other teams within BAM to define and employ best practices for streamlining technology, integration, API development and releases.

• Strike a balance along the dimensions of feasibility, stability, scalability, and time-to-market while delivering solutions

• Perform with minimum supervision and exercise sound judgment

• Desire to work in a collaborative environment, enhancing a shared toolset

• Help identify and automate manual processes




QUALIFICATIONS & REQUIREMENTS:

• Degree in Computer Science or a closely related field

• 3+ years of professional software development experience. Financial industry exposure a plus. Knowledge of Equity Vol a big plus

• Very good knowledge of relational databases and experience of writing production queries against one or more SQL engines such as PostgreSQL, Snowflake or ClickHouse.

• Experience of working with real-time market data, historical time-series data is an advantage

• Deep expertise in Python and/or Rust. C++ is a plus.

• Experience with React, CSS, AWS, Redis, Kubernetes, Kafka, and low latency middleware is a plus.

• Experience working in Agile Development / SCRUM Methodologies

• Experience with basic DevOps techniques, including CI/CD and infrastructure-as-code, a plus

• High degree of accuracy and attention to detail

• Analytical skills - Ability to troubleshoot and logically assess problems and determine solutions

• Documentation skills - ability to represent ideas, requirements, and problems in clear and concise documents