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Quantitative Researcher, Volatility

BHFT

United Arab Emirates

Remote

AED 120,000 - 200,000

Full time

Today
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Job summary

A modern technology company in the United Arab Emirates seeks a Quantitative Researcher. The role involves calibrating volatility surfaces, analyzing market data, and designing automated trading algorithms. The ideal candidate has at least 5 years in quantitative trading, strong programming skills in Python or C, and the ability to collaborate effectively. Enjoy flexible remote work and opportunities for professional growth.

Benefits

Health insurance compensation
Sports activities compensation
Flexible work schedule

Qualifications

  • 5 years in Quantitative Research/Trading, background in a proprietary trading firm or hedge fund preferred.
  • Experience with basket and portfolio option strategies including pricing and risk management.
  • Strong collaborative spirit and communication skills, ability to explain complex ideas.

Responsibilities

  • Calibrate volatility surfaces using market data for arbitrage-free conditions.
  • Design automated algorithms for adjusting surface parameters.
  • Analyze market data to identify trading opportunities.

Skills

Quantitative Research/Trading
Basket and portfolio option strategies
VaR simulations
Proficiency in Python
Market microstructure
Strong communication skills

Tools

C or Rust
Job description
  • Calibrate SSVI or similar volatility surfaces using market data to ensure smoothness arbitrage‑free conditions and temporal stability;
  • Design and implement automated algorithms for adjusting surface parameters such as skew curvature and wing dynamics;
  • Tune and debug models under realistic market conditions including bid/ask spreads, market noise and incomplete markets;
  • Analyze historical and live market data to identify trading opportunities and spread dislocations;
  • Perform backtests on option spread strategies, portfolio optimizations and against multiple underlyings;
  • Collaborate with the quant team to enhance ML pipelines and expand statistical toolkits for research and production use.
Qualifications
  • 5 years in Quantitative Research/Trading; background in a top‑tier proprietary trading firm or hedge fund is strongly preferred;
  • Strong experience with basket and portfolio option strategies including pricing and risk management;
  • Proven track record in building inventory‑aware models where quoted prices adjust based on live risk metrics and our options position;
  • Practical experience with VaR simulations and SPAN margin optimizations;
  • Experience supporting systematic trading strategies with holding periods from minutes to several hours including near‑expiry trading (non‑latency sensitive);
  • Background in single‑name equity or equity index options preferred;
  • Proficiency in Python, C or Rust;
  • Solid understanding of market microstructure;
  • Strong collaborative spirit, work ethics and a determined drive for success; ability to work both independently and as part of a team;
  • Strong communication skills with the ability to clearly explain complex ideas.
Additional Information

What we offer:

  • Experience a modern international technology company without the burden of bureaucracy.
  • Collaborate with industry‑leading professionals including former employees of Tower, DRW, Broadridge, Credit Suisse and more.
  • Enjoy excellent opportunities for professional growth and self‑realization.
  • Work remotely from anywhere in the world with a flexible schedule.
  • Receive compensation for health insurance, sports activities and non‑professional training.
Remote Work

Yes

Employment Type

Full‑time

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