2027 Quantitative Analytics Analyst Graduate Program New York at Barclays | NY, US | Rezi

2027 Quantitative Analytics Analyst Graduate Program New York at Barclays

2027 Quantitative Analytics Analyst Graduate Program New York

Barclays · NY, US

2 weeks ago

2027 Quantitative Analytics Analyst Graduate Program New York

Barclays · NY, US

18 days ago
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About the Role

Bringing quantitative and analytical expertise to bear across the full spectrum of our Markets and Risk businesses. Our Early Careers colleagues are expected to play an important role in the design and development of risk management and trading strategies, through the use of quantitative analysis, mathematical modelling, and technology, with the aim of optimising trading processes, development practices, systems and infrastructure as well as identifying growth and investment opportunities.

Responsibilities

  • Develop and implement quantitative models and strategies to enhance decision-making, pricing, and risk management.
  • Design and maintain high-performance trading platforms and risk systems, integrating new features to improve reliability and user experience.
  • Conduct research and data analysis to uncover market trends and drive innovation through advanced methodologies and technologies.
  • Collaborate with traders, sales teams, and stakeholders in Risk and Finance to deliver customized solutions and translate business needs into scalable tech tools.
  • Work cross-functionally with compliance, IT, and strategy teams to resolve system issues and continuously improve trading infrastructure.
  • Advise and influence decision making, contribute to policy development and 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.

Requirements

  • Completed or be in the final year of a postgraduate degree (Masters degree, equivalent or higher).
  • GPA of 3.4 or above.
  • Strong mathematical and programming skills (ideally in C++, or Python).
  • Some financial knowledge (regarding financial instruments, asset simulation or pricing models).
  • A passion to learn more about the banking sector, the financial services industry and capital markets.
  • Great at communicating and collaborating.
  • Driven to identify the best solution to a problem and then motivated to deliver that solution at pace.
  • Ready to develop a deep understanding of what we do, why we do it, and how your role impacts our business outcomes.
  • Barclays will not offer or consider offering sponsorship for work visas or offer any employment-based immigration sponsorship for individuals, now or in the future, unless such individuals are enrolled in or graduate with a degree in a field of study that the U.S. Department of Homeland Security and the Department of Education consider to be a science, technology, engineering or mathematics (STEM) field of study for purposes of the 24-month STEM OPT extension.

Skills

  • Quantitative analysis
  • Mathematical modelling
  • Technology
  • Statistical methods
  • AI techniques
  • Coding strategies
  • C++
  • Python
  • Communication
  • Collaboration

Location

  • New York

Work Type

  • Full-time

Experience Level

  • Early Careers
  • Graduate

Education Level

  • Masters degree or higher
  • Technical discipline such as Mathematics, Quantitative Finance, Statistics, Calculus Physics, Economics, Computer Science, Machine Learning or other similar subjects.

Salary/Compensations

  • $125,000 - $125,000

Benefits

  • 1 year targeted, fast-track program designed to give you depth and breadth of experience.
  • Job-based bespoke training from the start.
  • Challenging projects and opportunities to grow and learn.
  • Encouragement, feedback and support.
  • Mentorship opportunities.
  • Networking with colleagues and senior leaders.
  • Modern cafeteria
  • Fully equipped fitness center

About the Company

  • Barclays is a global financial institution with a presence in markets and risk businesses.
  • Our graduates are a vital part of our success.
  • The Quant Graduate Program is an integral part of the bank, researching and developing models and producing data analysis tools for valuation and risk management across various business areas at Barclays.
  • Risk Quantitative Analytics (Risk QA) is a group of specialised modellers and developers powering Barclay’s ability to manage financial risk.
  • Barclays Values: Respect, Integrity, Service, Excellence and Stewardship.
  • Barclays Mindset: Empower, Challenge and Drive.

Equal Opportunity

  • It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, protected veteran status, genetic information, or any other basis protected by law.