Electronic Trading Associate Graduate Program 2027 New York

Barclays•New York, NY

1d•Onsite

About The Position

This graduate program is designed for recent or soon-to-be graduates to participate in the day-to-day activities of the markets division. Participants will provide insights and expertise to help senior colleagues make informed decisions, develop new products and services, and identify new market opportunities. The program offers curated experiences, knowledge, and connections to shape a career in electronic trading, algorithmic trading, and data science. Graduates will gain practical experience, undertake tasks of real-world value, and learn how data science fits into the business. They will help turn mathematical and algorithmic ideas into trading reality by learning statistical models, algorithmic coding, testing machine learning techniques, researching and implementing new models, and expanding the computational platform by solving complex software development problems.

Requirements

Working towards a PhD or Master’s in a technical discipline such as statistics, computer science, mathematics, physics, quantitative finance, operations research or similar.
GPA of 3.2 or above.
Mathematical and programming skills (ideally in Java, C++, or Python).
A knack for logical thinking and creative problem solving.
Resourcefulness, teamwork, enthusiasm and an entrepreneurial spirit.
Barclays Values of Respect, Integrity, Service, Excellence and Stewardship.
Barclays Mindset – to Empower, Challenge and Drive.

Nice To Haves

Involvement in extracurricular activities may showcase resourcefulness, teamwork, enthusiasm and an entrepreneurial spirit.

Responsibilities

Execution of small research projects.
Conduct research to support strategic decision making.
Preparation of presentations and reports to communicate research findings.
Collaboration with senior management to implement research findings for the global markets division.
Collaboration with cross-functional teams to support business initiatives.
Participation in training and development programs to enhance skills and knowledge.
Identification of opportunities, development of business cases, management of the deployment and launch of new products and services for the global markets division.
Management of client relationships and provision of customer service support to clients and customers, under steadily decreasing supervision, responding to questions about products and services, processing of transactions.
Management of the development and implementation of financial models and strategies that support in decision making in the global markets division.
Training and mentoring of junior colleagues.
Advise and influence decision making.
Contribute to policy development.
Take responsibility for operational effectiveness.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives.
Appraisal of performance relative to objectives and determination of reward outcomes.
Lead collaborative assignments and guide team members through structured assignments.
Identify the need for the inclusion of other areas of specialisation to complete assignments.
Identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively.
Communicate complex information.
Influence or convince stakeholders to achieve outcomes.
Learn to use statistical models and algorithmic coding in practice.
Test practical machine learning techniques.
Research and implement new models.
Expand the computational platform by helping solve complex software development problems.