Quantitative Analyst

2 weeks ago

Cape Town, South Africa M&G Investments Southern Africa Full time
Job title : Quantitative AnalystJob Location : Western Cape, Cape TownDeadline : December 28, 2024Quick Recommended Links
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Overview

  • A vacancy has arisen for a Quantitative Analyst at M&G SA. This position would be suited for someone with an exceptional academic record and advanced technical skills.

Key Responsibilities

  • Research focus – reading and replicating papers about subjects that could enhance the existing investment process, drive new product development, or provide additional insight.
  • Supporting the investment process and broader business with sound analysis and interpretation of data as a member of the Quants team.
  • Coding skills – R and/or Python strongly preferred, otherwise Matlab.
  • Generating ideas and prototypes for tools to enhance the investment process.
  • Enhancing existing quantitative portfolio management tools (written in R).
  • Reading, understanding and maintaining others’ code, and writing code that others will read.
  • Sourcing, organising and cleaning the data required for tools and prototypes under development.
  • Developing and documenting machine learning and/or statistical models to assist in the investment process.
  • Partnering with ITS in order to roll out and enhance the use of systems and databases within the investment team.
  • Remaining abreast of developments in big data/AI/fintech that may be useful in the investment context.
  • General and recurring analysis tasks related to being a member of the quants team (both for the investment team and other parts of the business).

Attributes, Qualifications, Skills & Experience

  • Relevant academic qualification with a strong focus on statistics, applied mathematics, data analysis, or financial modelling – Masters level strongly preferred.
  • A minimum of 3 years’ experience, but preferably at least 5, as a quantitative analyst/quant developer.
  • Willing to consider completing the CFA qualification (or CAIA, or FRM, or similar) depending on existing academic qualifications and experience.

Software knowledge:

  • R and/or Python (preferred) or Matlab. VBA would also be useful.
  • Bloomberg, Inet/IRESS, Thomson Reuters/Refinitiv experience would be an advantage.
  • Factset and/or MSCI BarraOne experience would be useful.

Competencies & Personal Attributes

  • Motivated and able to learn new skills and concepts independently, and capable of consuming large volumes of information.
  • A finisher.
  • Able to work at a consistent rate even without firm deadlines, in an unstructured, high-trust environment.
  • Ability to think through and solve complex problems.
  • The ability to accept requests that specify the question to be answered, but not necessarily how to answer it.
  • The ability to determine when a rapid, “good enough” answer is required, vs a detailed, perfectly robust one.
  • Self-organising, able to prioritise unless external guidance is provided.
  • Able to judge when to ask for help.
  • Able to function well as part of a team with complementary but different skills.
  • The ability and confidence to clearly explain technical material at an appropriate level to the audience.
  • Sense of accountability, ethics and responsibility.
  • Attention to detail, with consistent production of clearly documented, well-organised output.
  • Ability to work independently and to accept feedback.

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