GLOBAL BANKING & MARKETS DIVISION:

In Global Banking & Markets our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energised by a bustling trading floor.

YOUR IMPACT (AUTOMATED TRADING CONTROL ENGINEER):

The team combines engineering, research, risk management, control design and trading expertise to deliver liquidity solutions for our clients and advance the firm’s electronic trading goals. No trading system or business is complete without an integrated and thoughtful approach to risk management, including the unique operational risks that come along with complex, high-speed trading systems.

Futures Strats. are responsible for all aspects of the futures electronic trading business, providing sophisticated execution-related services to the firm’s clients, with a particular focus on automated execution algorithms for futures and options. We cover foreign exchange, commodities, interest rates, credit, crypto and equity index products. We are responsible for research, design, implementation, testing and support of high-performance algorithmic trading systems and strategies for the firm’s futures trading businesses. The team interfaces on a regular basis with clients, sales-trading, technology, and other Strats. teams.

RESPONSIBILITIES: 

• 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. 

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.