Global Banking & Markets Division – Futures Execution Strats – Embedded Aut

at  Goldman Sachs

SKILLS & EXPERIENCE WE’RE LOOKING FOR:

• First and foremost a passion for technology and a drive to deliver. This is a hands-on developer role.
• A bachelor’s degree in Computer Science, Operations Research, Math, Physics or Statistics.
• Proficiency in programming languages like Python, Java or C++ and the ability to write efficient, clean, and maintainable code.
• The ability to communicate clearly and to lead conversations on technical topics with non-specialist audiences.
• Experience managing projects, and building and maintaining stakeholder relationships.
• Proficiency in creating technical documentation.
• Ability to prioritise and meet simultaneous competing demands.
• Interest in developments in the global financial regulatory environment.
• A background in audit, compliance, control design or operational risk and a familiarity with Basel-style operational risk frameworks. Understanding of electronic trading risks and controls is a plus.
• Certifications such as Global Association of Risk Managers – Financial Risk Manager (FRM) and/or ISACA Certified Information Systems Auditor (CISA) are desirable.
• Background in Probability, Statistics, Machine Learning, Natural Language Processing, Reinforcement Learning, Large Language Models is desirable too.

• Inventing, designing and implementing new controls; maintaining and improving existing controls.
• Responding to information requests from regulators and control functions across the firm, e.g. Compliance, Risk and Internal Audit.
• Managing work to address follow-ups to production incidents and other operational risk events.
• Documenting algorithmic trading controls and activities for consumers both inside and outside of the team.
• Design, build and maintain complex, scalable, low latency and high-capacity quantitative models for real time algorithmic trading, order state management, risk management, and other execution functions.
• Provide quantitative analysis and analyze noisy data. Generate ideas to build complex signals and design overall strategies. Combine methods of theoretical physics and artificial intelligence to generate predictive mathematical models.
• Engineer software applications for high frequency trading and develop logical theories for trade execution.
• Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of the models.
• Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions.