Data Engineering Team Lead- Tech Driven Algorithmic Trading Firm

Vodafone; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Une entreprise de trading algorithmique recherche un ingénieur logiciel expérimenté pour diriger un nouveau groupe d'ingénierie des données. Vous serez responsable de la création d'un système de gestion des données cruciales pour l'entreprise, en garantissant que les données sont propres, accessibles et bien intégrées. Ce rôle nécessite une forte compétence en programmation et une expérience avec les données financières.

Benefits

Gym sur place

Avantages médicaux étendus

Repas fournis quotidiennement

Soutien aux soignants

Bureaux au centre de Londres

25 jours de congés payés par an

Contributions généreuses au fonds de pension

Qualifications

• Plusieurs années d'expérience avec les données financières et les actions d'entreprise.
• Connaissance d'un langage de programmation statiquement typé.
• Confort avec l'analyse des données et les statistiques.

Responsibilities

• Responsable de la construction d'un nouveau système de données.
• Gestion des données critiques pour l'entreprise.
• Assurer un schéma de données normalisées minimal mais suffisant.

Skills

Data analysis

Programming

Statistics

Tools

Java

C++

Go

Job description

The Firm

This is an algorithmic trading firm that actively trades tens of thousands of instruments on over eighty venues with a daily volume of almost three hundred billion USD. They partner with counterparties, exchanges, and e-trading venues globally to provide consistent liquidity in the Equity, FX, Fixed Income, Commodity & Options markets, helping market participants throughout the world obtain the best prices in the various asset classes covered.

Leveraging the talent of the people who work there, modern computational techniques and state-of-the-art research infrastructure, they analyse large data sets across markets quickly and efficiently, to maximise the effectiveness of proprietary trading algorithms. The models that drive trading strategies have evolved considerably over the last 10 years, from econometric methods, to trees, to neural networks, to modern deep learning architectures. They actively seek new methods and ideas.

At this firm, technology is their business and they're a diverse organisation which attracts outstanding talent from across all industry backgrounds. Focused on teamwork, colleagues collaborate on all aspects of the business, working openly and with respect for each other, clients and the market. The culture is non-hierarchical and one where everyone is valued. They strive for excellence in everything they do.

The Role

Seeking an experienced software engineer to lead a new Data Engineering group. You will be responsible for building a new system for processing and managing daily data that is used throughout the firm including corporate actions, fundamentals, and index membership data.

They're not trying to collect hundreds of alternative data sources; instead, the focus is on collating the data that is most critical to the firm, both now and as the business evolves, and ensuring that there is a singular, clean, easy to access and well-integrated repository of these data. As the owner of the firm's daily data, you will be expected to anticipate the needs of the business and ensure the normalised data schema is minimal yet sufficient.

As with all technical leadership roles at this company, you can expect the majority of your role to be engineering rather than pastoral management of a team.

Essential Attributes

• You will have several years of experience working with financial data and in particular, experience with the subtleties of corporate actions will be crucial.
• You must be a confident programmer and proficient with at least one statically typed language (Java, C++, Go, etc). Much of the firm's software is written in Go and although you will need to integrate with this existing software stack no prior Go experience is required (so long as you are willing to learn).
• You will be very comfortable with data analysis and statistics; required to ensure sufficiently clean data (for example regressions will be required to determine the market's effective rate of withholding tax, so some knowledge of statistics or basic machine learning would be highly beneficial).

Benefits

• Onsite gym, sauna, and fitness classes at no charge.
• Extensive medical benefits including an on-site doctor and therapist at no charge.
• Breakfast and lunch provided daily.
• Various supports for caregivers, including emergency dependent care.
• Beautiful offices in central London.
• 25 days paid holiday per year + statutory holiday and paid sick days.
• Generous pension contributions.

Contact
If this sounds like you, or you'd like more information, please get in touch:

George Hutchinson-Binks
[e-mail]
([phone]
linkedin.com/in/george-hutchinson-binks-a62a69252