Become part
of the team.

Business operations at GSA encompass essential functions that drive operational efficiency, financial accuracy, and regulatory adherence. They include the management of trade execution, risk assessment, financial record-keeping, strategic budgeting, talent optimisation, and compliance with legal standards. This collective framework supports the firm's strategic goals and ensures a robust, compliant, and high-performing trading environment.

Regardless of your level of experience, if you’re talented in the areas of Compliance/Legal, Finance, HR, Office Management, Operations, Procurement, Recruitment or Trading Operations and wish to explore possibilities at GSA then we’re always open to making connections.

Unsure of where you might fit in? No problem. Send us your credentials regardless and it will be evaluated by one of the recruitment team here so we can check for you.

The Person

Our people are diverse, though we strive toward a few common traits:

• Conscientiousness: Your job really matters to us. We dig into issues and diagnose their cause, working effectively with colleagues to find immediate fixes and whenever possible, follow up with up with strategic solutions. You understand the value and importance of your role and are diligent in undertaking your responsibilities.
• Proactive and motivated. You thrive best when allowed to take initiative and possess a self-starter approach. You take pride in your work and look to perform to the best of your abilities.
• Interpersonal, collaborative and an effective communicator. Working at GSA requires effective collaboration with a range of colleagues, stakeholders and counterparties.
• Logical, numerate and possess a strong financial intuition: You seek to build upon strong critical thinking and analysis abilities with a deep understanding of your subject area and recognise the importance of context. You have a genuine interest in what we do and are naturally curious to build your understanding across multiple avenues of our business, how we operate and of the people working alongside you.
• Aptitude and adaptability. You strive to pick up and understand new concepts, systems, and strategies quickly.
• Highly organised and able to prioritise effectively. You enjoy crafting and working toward goals. You can efficiently collate, track, continually prioritise and proactively status report whilst managing the simultaneous resolution of many, often time-sensitive, issues.

Academic Requirements:

• We often find a good degree within an analytical field to be advantageous, but we are much more inclined to weight our evaluation toward your experience and career achievements when present.

Date: 4 November 2024 at 2pm 

Location: MR3, Centre for Mathematical Sciences, Wilberforce Road, Cambridge, CB3 0WA

Systematic Trading at GSA

Quantitative trading firms such as GSA capital use a combination of mathematical and computational tools to identify and act on profitable opportunities in the market. But unfortunately, being able to reliably predict the movement of a stock far from guarantees a profit. This talk will focus on the costs of trading in the market, the impact that a large trade causes, and the nuances of executing the "perfect" trade.

This talk will be suitable for students from a wide variety of fields, including mathematics, physics, computer science, economics, finance, computational linguistics, and machine learning.

Speaker:

Neeraja Bhamidipati is a quantitative researcher at GSA Capital and works in the Execution Services Group, where her primary focus is on researching ways to optimise execution costs. Before joining GSA Capital in 2021, she was a postdoctoral researcher at Princeton University. She has a background in applied mathematics and mechanical engineering, and a PhD in fluid mechanics from the University of Cambridge.

Audience: 

We welcome students of all academic levels from the Computer Science, Engineering, Mathematics, Statistics and any other closely related disciplines. The event will start with a short presentation followed by informal chats with representatives from GSA over food and drinks.

Please register interest so we can gauge numbers for catering purposes. 

Date:  28 October 2024 at 1.05pm

Location: FW26, Computing Lab, William Gates Building, JJ Thomson Avenue, Cambridge, CB3 0FD

Navigating Quantitative Investment: Technology and research in GSA and the challenges of staying competitive in today's markets

Quantitative investment firms attempt to navigate through large amounts of data in order to identify patterns and predict whether an asset is going up or down in value over a specified period of time. They employ various mathematical and statistical models to come up with efficient trading strategies tailored for a particular market or asset class.

Data collection, signal processing, risk management and order execution must be supported by state-of-the-art, impeccable technology. Staying ahead of competitors is an on-going challenge in this industry, particularly in modern assets such as crypto currencies which are riskier but can offer higher returns.

In this talk we will explore the general structure of GSA and the various teams that make up technology and research. We will also have a high-level overview of the life cycle of an order, covering some of the different stages it follows from idea to actual market execution.

Speaker: 

Mihai Enache earned his Bachelor's Degree in Computer Science from The University of Edinburgh in 2019. He then worked at Bloomberg until September 2021. Following this, he pursued an MPhil in Advanced Computer Science at the University of Cambridge from 2021 to 2022. He joined GSA in July 2022 and has been working in the Execution Services Group (ESG) as a software developer since then. During his undergraduate studies, he focused primarily on data science, but in recent years, he has shifted towards software engineering and computer architecture. His main hobbies include playing chess and running, with the route from Cambridge to Grantchester meadows being among his favourites.

Audience: 

We welcome students of all academic levels from the Computer Science, Engineering, Mathematics, Statistics and any other closely related disciplines. The event will start with a short presentation followed by informal chats with representatives from GSA over food and drinks.

Please register interest so we can gauge numbers for catering purposes. 

The role is a technical assistant to the IT Infrastructure team, primarily supporting the helpdesk within the team. We are looking for someone who has solid basic IT skills (PC setup, plugging in and setting up workstations, connecting network cables, debugging physical PC issues) and experience with Windows and Linux. Extensive helpdesk or support experience is not required. A keen home PC user who is looking to learn new skills would be ideal.

Date: 29 October 2024 at 6pm

Location: L4, Oxford University Mathematical Institute, OX2 6GG

Systematic Trading at GSA

Quantitative trading firms such as GSA capital use a combination of mathematical and computational tools to identify and act on profitable opportunities in the market. But unfortunately, being able to reliably predict the movement of a stock far from guarantees a profit. This talk will focus on the costs of trading in the market, the impact that a large trade causes, and the nuances of executing the "perfect" trade.

This talk will be suitable for students from a wide variety of fields, including mathematics, physics, computer science, economics, finance, computational linguistics, and machine learning.

Speaker:

Neeraja Bhamidipati is a quantitative researcher at GSA Capital and works in the Execution Services Group, where her primary focus is on researching ways to optimise execution costs. Before joining GSA Capital in 2021, she was a postdoctoral researcher at Princeton University. She has a background in applied mathematics and mechanical engineering, and a PhD in fluid mechanics from the University of Cambridge.

Audience:

We welcome students of all academic levels from the Computer Science, Engineering, Mathematics, Statistics and any other closely related disciplines. The event will start with a short presentation followed by informal chats with representatives from GSA over food and drinks.

Please register interest so we can gauge numbers for catering purposes. 

Are you:

• Curious how quantitative traders aim to deliver superior long-term investment performance?
• A quantitative thinker with a deep interest in statistics, probability, and technology?
• Intrigued by developing performant and insightful solutions to challenging modelling problems?
• Keen to use logical reasoning and data to formulate and test hypotheses about the behaviour of financial markets?

What can you expect?

• An open-ended, difficult to solve problem. Specifically, building an algorithmic trading strategy.
• An accompanying mini-lecture where we candidly explain what quantitative trading really involves.
• Advice and support from instructors with industry experience of developing trading strategies.
• Prizes for the best performing strategies plus other goodies.
• Food and drink.

We are limited to 20 places. Places are allocated on a suitability basis.

Application deadline:

• 1 November 2024 at 5pm 

Where and when?

CAMBRIDGE, UK:

Tuesday 12 November 2024, 6:00pm-8:30pm

MR4, Centre of Mathematical Sciences, University of Cambridge, Wilberforce Rd, Cambridge, CB3 0WA.

Date:  21 October 2024 at 12pm

Zoom link to be confirmed closer to the time.

Navigating Quantitative Investment: Technology and research in GSA and the challenges of staying competitive in today's markets

Quantitative investment firms attempt to navigate through large amounts of data in order to identify patterns and predict whether an asset is going up or down in value over a specified period of time. They employ various mathematical and statistical models to come up with efficient trading strategies tailored for a particular market or asset class.

Data collection, signal processing, risk management and order execution must be supported by state-of-the-art, impeccable technology. Staying ahead of competitors is an on-going challenge in this industry, particularly in modern assets such as crypto currencies which are riskier but can offer higher returns.

In this talk we will explore the general structure of GSA and the various teams that make up technology and research. We will also have a high-level overview of the life cycle of an order, covering some of the different stages it follows from idea to actual market execution.

Speaker: 

Mihai Enache earned his Bachelor's Degree in Computer Science from The University of Edinburgh in 2019. He then worked at Bloomberg until September 2021. Following this, he pursued an MPhil in Advanced Computer Science at the University of Cambridge from 2021 to 2022. He joined GSA in July 2022 and has been working in the Execution Services Group (ESG) as a software developer since then. During his undergraduate studies, he focused primarily on data science, but in recent years, he has shifted towards software engineering and computer architecture. His main hobbies include playing chess and running, with the route from Cambridge to Grantchester meadows being among his favourites.

Audience: 

We welcome students of all academic levels from the Computer Science, Engineering, Mathematics, Statistics and any other closely related disciplines. The event will start with a short presentation followed by Q&A.