Quantitative Analyst at Wallstreetdocs
London E14, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

01 Jun, 25

Salary

0.0

Posted On

02 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

European Languages, Stochastic Calculus, Javascript, Communication Skills, Probability, Java, Statistics, German

Industry

Financial Services

Description

We are looking for a Quantitative Analyst to join our team to develop our quantitative risk library. The role requires a mathematics and statistics background, with an understanding of financial fundamentals and enthusiasm for coding. While at WSD, you will further learn how to code and develop interactive libraries, test and roll out software applications that fit in the IT landscape of a bank. You will also have client contact from day one. In addition, you will acquire a range of knowledge of financial products generally.

QUALIFICATIONS:

  • Degree in Mathematics/Statistics/Computer Science, or any quantitative subject.
  • Experience in coding in any programming language (preferably in JavaScript and Java).
  • Knowledge in stochastic calculus, statistics, probability and numerical methods.
  • Experience in any academic/industrial statistical project.
  • Good communication skills, being able to explain complex concepts to other people.Knowledge of German (or any European languages) is a plus.
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Responsibilities
  • Maintain and develop our risk-engine, which is implemented in JavaScript/NodeJS and Java with an in-house library of functions.
  • Expose to various asset classes, including equities, foreign exchange, commodities, interest rates, inflation, credit defaults, etc., and review the associated model implemented in the library as per the European Union’s Regulatory Technical Standards (RTS) for packaged retail investment and insurance-based products (PRIIPs).
  • Implement innovative payment features and other properties of structured products and OTC derivative based on the market trends.
  • Understand the financial insights behind product payoffs and code in PHP fully to build mapping logic to translate banks’ input in XMLs into the risk-engine’s input in JSON strings.
  • Communicate with Tier 1 bank clients and internal service desks, performing Monte-Carlo simulations to provide risk analysis, finding efficient and effective solutions to solve any possible issue linked with the risk-engine.
  • Develop a pricing platform and aggregate it with the existing risk-engine.
  • Support all quantitative finance relevant requests from any service desk at WSD.Be a team player and actively communicate and corporate with other teams.
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