Data Engineer - Structured Data
London, England, United Kingdom
TradingHub
We provide trade surveillance, anti-money laundering and best-ex compliance solutions for financial institutions.About TradingHub
Founded in 2010, TradingHub is a disruptive financial technology (FinTech) company. Our clients are made up of Leading investment banks, asset managers, hedge funds, commodity houses, and brokerage firms (collectively representing over 20 trillion dollars of AUM). TradingHub’s AI-assisted Software Products offer market-leading trade data analysis in the following areas: Market Abuse; Operational Risk; Best Execution; Anti Money Laundering and Comms Surveillance. We are headquartered in London, with further offices in New York, San Francisco, Toronto and Hong Kong, although we are expanding rapidly!
The Role
TradingHub is re-designing how we ingest large amounts of transaction data, moving away from the current tabular approach to focus on a more structured approach. This project will encompass everything from automated code-defined data validation, trade pricing, integration into the current TradingHub batch framework and front-end development to display the analysed data. As this project gets rolled out and further developed the team will work with clients and the client implementation team to improve the onboarding process, as well as coordinating with the TradingHub engineering pods to utilise the new data to boost the analysis and usability of the products.
We are looking for an engineer who has a willingness to learn and push boundaries, someone who is comfortable contributing ideas and working with the team to build out new features whilst supporting the current framework. The candidate will need to be motivated, hands-on and enjoy working on various aspects of a large project, with other internal engineering teams.
Responsibilities:
- Assisting with the re-design of our client data pipeline
- Helping to support current stack and build out new features
- Following best practice approaches
- Working with clients and the client implementation team to improve the onboarding process
- Collaborating with product teams to utilise the new data pipeline and enhance the usability of the products
Requirements
Essential Skills/Competencies
- STEM Degree
- Genuine interest in financial markets, with at least a basic understanding of XXXX whether from experience or personal understanding
- Demonstrable experience of programming in any of C, C++ or C#
- Some experience of SQL is beneficial
- Experience of a client facing role, not necessarily in your most recent/current role
Benefits
Why should you apply?
- Ambition: Extremely fast-growing company with an uncapped potential, offering every colleague a broad range of experience and plenty of opportunities for internal movement, as well as rapid career progression. Vibrant company culture full of uniquely talented and friendly colleagues with regular social perks to build camaraderie.
- Flexibility: 25 days holiday + bank holidays, informal dress code, generous maternity/parental leave policies. We also offer a flexible working policy (up to 2 days a week remote during probation and then 3 days a week remote thereafter).
- Reward: Highly competitive compensation plus annual discretionary bonus and discretionary EMI scheme (company share option scheme).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Engineering FinTech SQL STEM
Perks/benefits: Career development Competitive pay Flex hours Parental leave Salary bonus
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