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Quant Analyst

Barclays

Barclays

Quant Analyst

New York, NY
Full Time
Paid
  • Responsibilities

    QUANT ANALYST - VP

    As a Quant Analyst, you will provide project specific leadership while building targeting solutions that integrate effectively into existing systems and processes while delivering a strong and consistent performance. You will be working with Quant Analyst Managers, and providing expertise in project design, predictive model development, validation, monitoring, tracking, implementation and/or specification.

    Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. 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.

    WHAT WILL YOU BE DOING?

    • Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations while supporting impairment and collections

    • Participate in the overall project design and delivery with Quantitative Analytics functional teams and end-clients

    • Validate, track, and monitor on the delivered projects

    • Produce robust documentation to ensure replicability of results and fulfil Barclays governance requirements

    • Work constructively with other Barclays resources to deliver on projects within an agreed time frame with end-client satisfaction

    • Contribute to the broader Quantitative Analytics department through participation in peer reviews, terms of reference reviews, modelling forums, and ad hoc project collaborations

    WHAT WE’RE  LOOKING FOR:

    • Minimum requirement of a Bachelor’s Degree in quantitative discipline (e.g. Finance, Mathematics/Statistics or Economics)

    • Hands on experience with statistical model development

    • A strong knowledge of data analysis, theory and statistical techniques (such as linear or nonlinear models), logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc

    • Proficiency with the analytical software Python, R, SQL tools (e.g., Oracle), Unix platforms, and MS Office required

    SKILLS THAT WILL  HELP YOU IN THE ROLE:

    • Masters or PhD in quantitative discipline strongly preferred

    • Analytical work experience in a financial services company and strong technical and/or statistical skills with proven ability to process large datasets into meaningful information 

    • An understanding of the fundamental principles of the CCAR and other stress testing exercises

    • Strong communication and project management skills with the ability to work independently

    WHERE WILL YOU BE WORKING?

    At Barclays, we are proud to be redefining the future of finance and here at Whippany we are defining the future of the workplace and the future of the way we work and live. We are creating a unique community, one of four strategic tech-enabled hubs that will redefine opportunity for everyone who works here. Whatever you do at Whippany, you’ll have every chance to build a world-class career in this world-class environment.

  • 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.