Machine Learning Engineer, TradingHub
£90-120k
Offers annual discretionary performance bonus
4-5 days a week in office
Financial markets analytics
Open for applications
Financial markets analytics
101-200 employees
Open for applications
£90-120k
Offers annual discretionary performance bonus
4-5 days a week in office
101-200 employees
Company mission
TradingHub's mission is to help financial institutions maintain the integrity of the markets, by detecting and preventing financial crime and enhancing trading performance.
Role
Who you are
- Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
- Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning
- Industry experience using Large Language Models (LLMs) to deliver commercial value
- Experience building data pipelines and performing feature engineering on real-world datasets
- Strong problem-solving skills and attention to detail
- Good understanding of SQL and working with complex datasets
- Keen interest in financial markets e.g. pricing, trading, fixed income
- Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back
What the job involves
- We're looking for a Machine Learning Engineer to join our Analytics division and play an important role in enhancing our metrics offering
- As our first dedicated ML hire, you’ll be utilising an array of modern LLM and NLP techniques to analyse complex financial data and unlock new capabilities for our market-leading suite of trade surveillance products
- This role will see you combine hands-on model development and software engineering, and collaborate with a high-performing team of Quant Researchers and Developers as well as other cross-functional departments
- Design, develop, and deploy machine learning models to enhance TradingHub’s market surveillance and analytics platform
- Contribute to the development of advanced metrics used to analyse trader behaviour, order execution and potential market abuse scenarios
- Apply machine learning and statistical techniques to large-scale financial datasets, improving accuracy and reducing false positives
- Leverage LLM and NLP models to extract insights from unstructured data and integrate them into existing analytics workflows
- Collaborate closely with quantitative developers, data engineers, and product teams to productionise models into scalable, high-performance systems
Salary benchmarks
Our take
Based in London and also operating out of Toronto and Singapore, TradingHub provides market analytics solutions to some of the world’s biggest investment banks, hedge funds, and asset managers to help them identify and analyse market abuse, rogue trading and other financial misdeeds.
Protecting the integrity of financial markets is crucial to keeping the global economy in good health, or at the very least, able to recover after a downturn. Judging by the scale of TradingHub’s network, the company plays a key role.
Though it keeps most of its client base under wraps, HSBC is one confirmed customer, while TradingHub also publicises that its clients have well over $20 trillion in assets under management (AUM). No doubt the company is operating in a high-stakes environment, but its organic, venture capital-free growth since launch suggests its holding its own.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Annual company-wide performance bonus
- Hybrid working policy
- Flexible working hours
- Private medical insurance + dental cover
- Discretionary EMI share option scheme
- Extended parental leave (up to 6 months of fully paid maternity leave)
- 5 days study leave towards professional qualifications
- Cycle to Work & Techscheme
- Season ticket loan
- Pension plan (enhanced 5% employer contribution)
- Death in service coverage
- 25 days holiday + bank holidays
Company values
- Ambition - We have ambitious plans to grow our business. Everyone at TradingHub is best placed to use and maximise their valuable skills. We align roles and people so that our customers always receive excellent service.
- Accountability – TradingHub’s proactive approach to supporting customers means we lead by example and own our actions and the results they generate. Every one of us gets involved and contributes to this.
- Partnership – We value collaboration and diversity in every partnership we build. Our culture fosters inclusivity and teamwork, which provides the foundation to our lasting client connections.
- Trust – Our customers trust us with their highly confidential data and information. TradingHub are worthy of that trust.
Company HQ
Barbican, London, UK
Articles
Leadership
Neil Walker
(Co-founder & Manager)Former Non-Executive Director of clearing house group LCH, Head of Credit Trading at Dresdner Bank AG, and Non-Executive Director at Derivatives Consulting Group. Previously worked in Structured Credit Trading for Merrill Lynch.
Diversity, Equity & Inclusion at TradingHub
- Education & Learning - In addition to introducing annual training on diversity and inclusion, we regularly host sessions with speakers on a variety of topics. Recent topics covered include being transgender, living with autism, male allyship and being comfortable being uncomfortable.
- Sourcing diverse talent - Annually we partner with the Bright Network to enable us to access a wider pool of female engineering talent. We will also be introducing a Returnship Programme in late 2023.
- Company-wide mentoring - We run a mentoring programme across the whole business to support in a number of areas such as career development, building industry knowledge and understanding and becoming a manager.
- Employee resource groups - We have three groups at TradingHub: the Women’s Network, CSR committee (including Diversity and Inclusion representatives) and a Global Social committee. All gather and work together to ensure the community at TradingHub is well-supported.
- Family-friendly policies - We are proud of our enhanced Maternity and Paternity policies, as well as the Shared Parental Leave policy, which aim to put our employees' needs first.
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