Remote Quantitative Analyst - Derivatives Pricing

Placements24

Bloemfontein

Hybrid

ZAR 900,000 - 1,300,000

Full time

36 hours ago
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Benefits offered by this job

Health insurance
Retirement plan
Home office allowance
Performance-based bonus
Remote work acceptance across SA

Job summary

Placements24 invites a highly skilled Quantitative Analyst to join a leading global financial firm in a remote SA role based in Welkom, Free State. You will build pricing models for a wide range of derivatives and develop trading algorithms.

You should have a strong mathematical foundation, expertise in stochastic calculus, and proficiency in Python, C++, Java, or R. Collaborative, autonomous work is expected.

Qualifications

  • Advanced degree in a quantitative field (Math/Physics/Statistics/Financial Engineering/CS).
  • 4–6 years of experience as a Quantitative Analyst in finance (investment banking/hedge funds/asset management).
  • Strong programming skills in Python/C++/Java/R with numerical methods experience.
  • Deep understanding of derivatives, stochastic calculus, and financial modeling.
  • Experience with pricing models (Black-Scholes, HJM, LMM) and risk frameworks.

Responsibilities

  • Develop, test, and implement pricing models for derivatives such as options, futures, and swaps.
  • Design algorithms for trading strategies and portfolio optimization.
  • Calibrate and validate models; ensure alignment with market conditions.
  • Collaborate with front-office and IT to productionize models and workflows.
  • Perform sensitivity analyses and contribute to quantitative research.

Skills

Python
C++
Java
R

Education

Master's or PhD in Mathematics/Physics/Statistics/Financial Engineering/CS

Tools

SQL

Job description

Placements24 invites a highly skilled Quantitative Analyst to join a leading global financial firm in a remote SA role based in Welkom, Free State. You will build pricing models for a wide range of derivatives and develop trading algorithms.

You should have a strong mathematical foundation, expertise in stochastic calculus, and proficiency in Python, C++, Java, or R. Collaborative, autonomous work is expected.

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