- London, England, United Kingdom
- Permanent, Full time
- 11 Oct 18
Quant-developer working within the SM&D team, designing and developing reusable frameworks to underpin our market analytics, execution strategies and models, pricing, hedging, pre/post trade analytics. Ultimately the purpose is to create best in class the business logic and models underlying electronic liquidity offering to clients and the associated analytics. This would involve the full chain from requirements gathering, design, implementation, productionisation, optimisation, monitoring and support.
About Statistical Modelling and Development
The Statistical Modelling and Development team remit lies within the trading activities in the Markets division, in particular electronic trading activities. It is responsible for
- Algorithms and model based business logic used in electronic trading in Markets.
- Data Science applied to trading and sales activities
- Underlying technology used in electronic trading and Data Science
The primary purpose of electronic trading is to provide liquidity to clients on agency and principal basis, where either the connection to the client is electronic or provision of that liquidity requires electronic trading. This requires the analysis, research and development of proprietary algorithms and trading business logic using data mining and statistical techniques.
The business logic includes information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies and smart-order-routing.
The primary purpose of the Data Science work is to extract information from our trading and market data to feed into decision making and algorithm design.
The instruments that we currently cover include Equities, FX Spot, Government Bonds, Corporate Bonds, Rates Futures, Rates Swaps, NDFs and CDS indices.
Dynamic working gives everyone at Barclays the opportunity to integrate professional and personal lives, if you have a need for flexibility then please discuss this with the hiring manager.
We are an equal opportunity employer and we are opposed to discrimination on any grounds
Overall purpose of role
Quant-developer working within the SM&D team, designing and developing reusable frameworks to underpin our market analytics, execution strategies and models, pricing, hedging, pre/post trade analytics.
Ultimately the purpose is to create best in class the business logic and models underlying electronic liquidity offering to clients and the associated analytics.
This would involve the full chain from requirements gathering, design, implementation, productionisation, optimisation, monitoring and support.
- Provide best in class service to Barclays clients
- Design of frameworks and functionality for development of trading algos
- Implementation, testing, and productionisation
- System tuning and optimisation
- Analysis of and improvements to algo performance
- Calibration and optimisation of parameters
- Proactive identification of problems and issues and resolution of them
- Provision of required support in timely manner and to high quality
- Participation in team peer reviews of code, modelling and testing
- Participation in team knowledge sharing and presentations
Stakeholder Management and Leadership
This role involves significant interaction with our partners in Product, Trading, Technology, Sales, Compliance and Risk. It may involve direct interaction with clients. The ability to work and communicate across diverse teams is essential.
Decision-making and Problem Solving
This position requires strong software design, analytical and programming skills. Attention to details and ability to make independent judgement are critical for success at this position.
Risk and Control Objective
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards
- Extensive experience of Java, C# or C++ in a shared codebase
- Good written and verbal communication skills to a wide audience
- Knowledge of low latency and event driven programming is desirable
- Knowledge of python, R or kdb is desirable
- Prior experience with algorithms or eTrading business logic is preferred
- PhD or masters degree in a quantitative, mathematical or scientific discipline is preferred
This role is deemed as a Certified role under the PRA & UK Financial Conduct Authority - Individual Accountabilities Regulations and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Barclays is a transatlantic consumer, corporate and investment bank offering products and services across personal, corporate and investment banking, credit cards and wealth management, with a strong presence in our two home markets of the UK and the US. Our goal is to become the bank of choice by providing superior services to customers and clients and supporting our stakeholders via a commercially successful business that generates long-term sustainable returns.
Our two clearly defined divisions, Barclays UK and Barclays International, provide diversification by business line, geography and customer, enhancing financial resilience and helping to contribute to the delivery of consistent returns through the business cycle. We have a strong core business with exciting prospects, well positioned to deliver long-term value for our shareholders.
Consistent with the objective of delivering long-term sustainable value for all our stakeholders, we have developed our Shared Growth Ambition – our approach to citizenship and the sustainability of the business model we operate. The aim is to make decisions and do business that provides our clients and customers, and the communities which we serve, with access to a prosperous future.
The delivery of our strategy is underpinned by the energy, commitment and passion of our people, and we are clear on our common purpose: to help people achieve their ambitions, in the right way.