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Credit Desk Quant

Barclays

Barclays

Credit Desk Quant

New York, NY
Full Time
Paid
  • Responsibilities

    Credit Desk Quant

    New York

    As a Barclays Credit Desk Quant, you will have the opportunity to work in quantitative model development, implementation, analysis and support for flow and structured credit products. Utilizing your aptitude for problem solving and ability to learn quickly, you’ll work collaboratively and closely with key stakeholders, including the credit banking business, portfolio managers, risk managers, the technology department and the rest of the Quantitative Analytics team, in a fast changing environment.

    Salary / Rate Minimum: 125,000

    Salary / Rate Maximum: 175,000

    The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any another type of compensation or benefits that may be available.

    Barclays is one of the world's largest and most respected financial institutions, established in 1690, with a legacy of success, quality, and innovation. We've helped millions of individuals and businesses thrive, creating financial and digital solutions that the world now takes for granted. An important and growing presence in the USA, we offer careers providing endless opportunity.

    Colleagues who have applied for 'onsite' roles are expected to work four or five days a week at the selected workplace, contingent upon their specific role and business area requirements. If you're applying for a position, please discuss the working pattern specifics with the hiring manager. It's important to note that we are constantly adapting our working environment, and as a result, working arrangements can be adjusted with reasonable notice to align with our business needs.

    What will you be doing?

    • Building and maintaining data driven models and embedding models and business logic in decision making tools
    • Being responsible for supporting analytics to drive pricing and risk decisions
    • Collaborating with quant colleagues, portfolio managers, syndicate team, risk managers, the Technology Department
    • Supporting and ensuring the successfully delivery of models into our analytic systems and libraries
    • Supporting and ensuring that all activities and duties are carried out in full compliance with regulatory requirements
    • Expressing clearly complex technical issues and requirements, and working constructively with all stakeholders to progress projects

    What we’re looking for:

    • PhD or Masters in Quantitative Finance, Applied Mathematics, Physics, Operations Research, Statistics, or similar quantitative field
    • Experience developing models and tools for pricing, analysis, and risk management of structured credit products
    • Experience in coding in one or more of the following: VBA, SQL, C++, Python in a shared codebase with multiple developers
    • Good written and verbal communication in English and experience building statistical/econometric models, preferably with financial datasets

    Skills that will help you in the role:

    • Proficiency in embedding models in user tools with Excel as the front end
    • In depth understanding of modelling complex credit products and/or a desire to learn about them

    Where will you be working?

    You will be working at our Americas Headquarters at 745 Seventh Avenue. This 32-story office tower is located in Times Square in the heart of Manhattan and features a cafeteria, fitness center and state-of-the-art LED signage on the facade of the building.

  • Industry
    Banking
  • About Us

    We’re a global, vital and highly respected financial organisation with an inspiring Purpose. Operating in 50 countries and employing around 83,000 people across the world, we help communities, individuals and businesses thrive. And we’ve created financial solutions and technology that the world now takes for granted. A career with us can offer incredible variety, depth and breadth of experience, and the chance to learn from some of the best minds in technology and finance.