AVP/Analyst - Quant - Bank

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

- Responsible for design and ongoing improvement of the frameworks hosting the algorithms to enable high performance and rapid development

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 the opportunity to integrate professional and personal lives, if you have a need for flexibility then please discuss this with the hiring manager.

Overall purpose of role :

The quantitative developer will be responsible for solution and service delivery in the algorithmic trading space. The successful candidate will be responsible for the development, support and maintenance of the core business and trading decision logic of the BARX Algo trading and execution platform. It encompasses requirements gathering, design, implementation, performance tuning, testing, validation and production rollout.

Key Accountabilities :

The quantitative developer working within the team, will be designing and developing reusable frameworks to underpin our market analytics, execution strategies and models. Ultimately the purpose is to create best in class business logic and models. This involves the full chain from requirements gathering, design, implementation, productionisation, optimisation, monitoring and support. The person would be

- Primarily responsible for the implementation of equities trading models

- Review the implementation of other software developers

- Responsible for the correct documentation of the trading logic

- Participate in the testing of the trading models

The quantitative developer will also interact with the quantitative analysts, and developers from the technology organization, product team and traders. Attention to details and ability to think "outside the box" are critical for this role.

The role is not limited to the implementation of trading models/logic according to a set of requirements, the candidate will be expected to be part of the solution design and should therefore challenge the model logic and provide constructive criticism in order to improve the models. Therefore, it is important to fully understand the models and the problem we are trying to solve.

Stakeholder Management and Leadership:

This role involves interacting with colleagues in other locations as well as our partners in Trading, Technology, 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 analytical, mathematical modelling, and programming skills. Attention to details and ability to make independent judgement are critical for success at this position.

- Risk and Control Objective [This section is mandatory for all role profiles and must not be deleted

- Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Policies and Policy Standards.