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The Details

DΞΛDLINΞ IN

BΛCK

QUΛNTITΛTIVΞ ЯISK STЯΛTΞGIST (SUMMΞЯ INTΞЯNSHIP)

 

Location London

Code REQ5292

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
ΛPPLY

About Balyasny Asset Management (BAM)

Balyasny Asset Management (BAM) is a global, multi-manager multi-strategy investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder and Taylor O’Malley. What began as a single, small office in Chicago trading mostly long/short equity has grown into an institutional global platform with investment strategies spanning across Equities Long/Short, Macro, Equities Arbitrage, Credit, Commodities, Systematic and Growth Equity.

Today, we have 16 global offices with over 1,800 team members, 159 investment teams, and 21 partners managing more than $21 billion in AUM. We have built an award-winning collaborative culture dedicated to leveraging the collective knowledge and experience of our team members across industries, asset classes, regions, and markets to uncover profitable investment opportunities that deliver value to our clients.

At BAM, we are our talent. We are a growing firm that offers a multitude of professional opportunities. Through BAM’s selective hiring process, we target the best and brightest in the business, and strive to create an environment which attracts and retains top talent. Maintaining a culture where people are energized to come to work is paramount to our success. Our team is motivated to perform each and every day.

As a result, BAM has built a reputation as a firm that provides the tools necessary for talented individuals to achieve their goals and reach their highest potential.