Summer Risk Tech Intern: Quant & Python Focus

Capstone Investment Advisors

Greater London

On-site

GBP 21,000 - 34,000

Part time

5 days ago
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Job summary

Capstone Investment Advisors invites applications for a 10-week Summer Risk Tech Internship designed to give interns practical exposure to our Risk Tech team and the broader working environment. Interns will support day-to-day activities while completing a defined project that provides a meaningful learning experience and addresses a real business need.

We seek intellectually curious, analytical candidates pursuing a quantitative degree with strong Python, Java or C skills, and the ability to

Qualifications

  • Studying towards or holding a degree in a quantitative subject (Comp Sci, Maths, Engineering, Physics or similar), or equivalent experience.
  • Strong programming ability in Python, Java or C, demonstrated through projects or work experience.
  • Able to explain technical ideas clearly to both technical and non-technical colleagues.
  • Takes ownership of problems, from research to design and implementation.
  • Bonus: experience in financial services or investment management is preferred.
  • Interest in technology and artificial intelligence is encouraged.

Responsibilities

  • Support the Risk Tech team's day-to-day activities and complete a defined project.
  • Gain exposure to risk measurement and management across asset classes and scenarios.
  • Analyse live trades and understand PnL drivers and risk factors.

Skills

Python
Java
C
Quantitative degree
Ownership of problems

Education

Degree in quantitative subject or equivalent

Job description

Capstone Investment Advisors invites applications for a 10-week Summer Risk Tech Internship designed to give interns practical exposure to our Risk Tech team and the broader working environment. Interns will support day-to-day activities while completing a defined project that provides a meaningful learning experience and addresses a real business need.

We seek intellectually curious, analytical candidates pursuing a quantitative degree with strong Python, Java or C skills, and the ability to

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