Quantitative Analytics Analyst - Expert Off Cycle Intern Programme – 2023

Quantitative Analytics Analyst - Expert Off Cycle Intern Programme – 2023 London, England

Barclays
Full Time London, England 10.56 - 12.04 GBP Today
Job description

Description - External

Quantitative Analytics Analyst– Expert Off Cycle Intern Programme – 2023

The team that delivers world-class solutions

Our industry-leading group provides model development, analytics and valuable quantitative advice to businesses across the bank. Applying to our program, means you will be joining us for 3 – 6 months, where you will have the opportunity to join one of our specialist teams, including:

Derivatives and Securities Modelling Quants

Are specialised modelers and developers responsible for researching, innovating, developing, testing, implementing, and supporting all quantitative models used for valuation and risk management across all asset classes. Joining a group that partners with traders and risk managers across the bank, you’ll gain the widest exposure to a variety of modelling techniques and instruments to help drive business strategy.

Statistical Modelling Quants

Are made up of data scientists, developers, data engineers, and researchers who deliver solutions to develop, test, implement, and support all statistical models for the estimation of default probabilities, recovery rates and exposures at default, forecasting models for net revenue and balance sheet projections, scenario generation, operational risk, climate change, economic capital models and machine learning models for fraud detection, all while using the latest model development approaches and advancements in technology.

Markets Model Owner Delegate

The team acts as delegate for the business in their capacity as Model Owners for quantitative pricing/valuation models and trading algorithms. This includes documenting, testing and defending such models to relevant stakeholders, including model validation, finance, market risk, auditors, regulators, as well as helping the business satisfy other requirements placed on them by the model risk policy. It naturally entails working closely with Model Owners in the business and with Model Developers. While coding skills are not required here, strong quantitative and mathematical skills are essential.

The chance to make an impact

As a Quantitative Analytics Off Cycle Intern, you’ll gain valuable exposure to real-world problems in our dynamic and invigorating environment. During your internship, you will have the chance to:

  • apply the latest quantitative techniques to solve real-world business problems
  • research, develop and implement new models and solutions
  • improve our computing and data infrastructure.

A place where you can thrive

At Barclays, you’ll be surrounded by experts in the industry, who will help you achieve your goals and ambitions. Our collaborative, supportive environment gives you the chance to build solid relationships with senior leaders and peers alike.

What’s more, this could be the beginning of an exciting and rewarding career. We offer full-time employment opportunities to those interns demonstrating excellent work ethic and technical competence upon the completion of their internship.

During the program, you’ll also:

  • participate in formal and informal training designed to give you the knowledge you need when you need it
  • receive detailed performance coaching and feedback
  • have opportunities to expand your network and develop leadership skills

Your role as a Quantitative Analytics Off Cycle Intern will provide you with the skills and experience needed for a successful career in the world of finance. The program will help provide a visible path to the necessary steps for promotion and the tools to get you there.

To be considered for this program, you must:

  • either have completed, or be in your final year of an undergraduate qualification in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects.
  • Graduating in 2023 or before

Ideally, you would also have:

  • strong mathematical and programming skills (ideally in C++, or Python)
  • strong logical thinking and problem solving abilities
  • communication skills and a team-oriented attitude
  • fluent written and spoken English

Who thrives here:

  • creative independent thinkers with a knack for developing clever solutions and a formal skill-set for knowing how to apply them in the real world
  • those with a deep academic background who have a passion for bringing rigorous theory to unstructured problems
  • people who have an easy comfort with the foundational subjects (probability, statistics, analysis, mathematics, matrix algebra) as well as strong programming skills
  • individuals who can champion their ideas with sharp communication skills and a teamwork mentality

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.

Quantitative Analytics Analyst - Expert Off Cycle Intern Programme – 2023
Barclays

search.jobs.barclays
London, United Kingdom
C.S. Venkatakrishnan
$10+ billion (USD)
10000+ Employees
Company - Public
Banking & Lending
Finance
1690
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