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Quantitative Risk Strategist Summer Internship London 2024

Employer
Balyasny Asset Management
Location
London, United Kingdom
Salary
Competitive Salary
Closing date
Feb 13, 2024

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Job Role
Risk Manager
Sector
Finance
Contract Type
Internship
Hours
Full Time
Balyasny Asset Management L.P. (BAM) is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration.

BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.

With 2,000+ employees in 17 offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and well-being of our people through world-class benefits.

Responsibilities

  • Work directly with a Senior Quantitative Researcher and Risk Managers working on data analytics projects using Python for exploratory data analysis, modeling, visualization, performance evaluation and report generation
  • Research and deliver insights related to portfolio/ firm risk exposures, portfolio construction, and quantitative analysis of the investment process
  • Improve framework for models related to analyzing risk, portfolio construction, investment process, trading


Qualifications & requirements

In order to effectively represent the Company and communicate with clients, must be someone who is:
  • Graduate Students or PhD students in Engineering, Computer Science, Quantitative Finance, Operational Research, Financial Engineering, Econometrics, Mathematics, Statistics, Machine Learning or related field
  • Well-rounded students with an outstanding track record of academic achievement, broad based extra-curricular interests and a passion for financial markets

The ideal candidate for the position will be someone who has or is interested in:
  • Solid programming skills (Python experience required)
  • Comfortable working with complex and large datasets
  • Experience with financial/ portfolio management concepts and quantitative methods
  • Strong problem solving skills and ability to identify and implement appropriate solutions
  • Outstanding track record of academic achievement, and a strong interest in financial markets
  • Result driven attitude, ability to work under pressure, and desire to work collaboratively within a team
  • High standard of professionalism in all situations
  • Ability to prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline
  • Ability to communicate complex ideas clearly; solid analytical, writing, verbal, technical skills
  • Outstanding attention to detail and strong organization skills
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