SM&D- Equities Quant Developer

Join us as a "SM&D - Equities Quant Developer" at Barclays. As a SM&D - Equities Quant Developer, the person would 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. The SM&D - Equities Quant 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 quantitative develop SM&D - Equities Quant 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, product ionisation, 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

You may be assessed on the key critical skills relevant for success in role, such as experience with SM&D - Equities Quant Developer, as well as job-specific skillsets.

To be successful as a "SM&D - Equities Quant Developer", you should have experience with:

Basic/ Essential Qualifications:

* Bachelor’s degree in engineering/sciences disciplines such as Computer Science, Financial Engineering, Maths, Finance, Econometrics, Statistics, Machine Learning, Physics or Chemistry.

* Experience in development of complex code in multi-tenant C++ (preferred) or Java systems in shared development environment.

* Excellent verbal, written communication & presentation skills.

* Should be a self-starter and can work easily as individual contributor or part of a team.

* Master’s or PhD in engineering, mathematics or other quantitative disciplines.

Desirable skillsets/ good to have:

* Prior experience of developing execution algorithms, especially within equities domain, is highly desirable.

* Working knowledge of Python, Q/KDB and/or other analytics query languages.

* Working knowledge of market microstructure for APAC markets.

* Prior experience with algorithms or eTrading business logic is preferred.

* Prior professional experience of working in financial institutions.

This role will be based out of Noida.

Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. 

Accountabilities

• Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
• Working closely with sales teams to identify clients' needs and develop customised solutions.
• In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
• Provide front office infrastructure support though ownership and maintenance of analytical libraries.
• Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.