Hybrid Quant Trader: Market-Making & Research

Kappa Lab; Dubai; Hybrid; AED 600,000 - 900,000; Full time

Job summary

Kappa Lab, a digital-assets market maker, seeks a Quantitative Trader to own live market‑making strategies and prototype new ones. Join a hands‑on trading team, work with crypto assets across venues, and improve performance while managing risk in real time.

You will collaborate with engineering, utilize Python for analytics, and bring a proactive mindset to spot opportunities and move fast in a fast-paced market.

Qualifications

• , Strong quantitative reasoning with statistics on fast-moving data.
• - Production-grade Python with maintainable code and version control.
• - Ability to turn large market datasets into decisions and explain reasoning.
• - Familiarity with cryptocurrency markets and trading concepts.
• - Sound risk judgment: know when to size down, hedge or stop.
• - Proactive mindset to spot opportunities and move fast.

Responsibilities

• Own live market‑making strategies: tune quoting parameters, spreads, sizing and hedging, and diagnose and improve performance
• Research, prototype and launch new quantitative strategies across venues and asset classes
• Analyse execution quality in depth - fill quality, adverse selection, realised spreads, and trading costs
• Work in our configuration-as-code platform, where strategy parameters are version-controlled, reviewed and deployed like software
• Monitor live trading and manage risk through volatile market conditions
• Work closely with engineering on the systems you trade through, and contribute code to them yourself

Skills

Quantitative reasoning

Python

Data analysis

Risk management

Trading concepts

Crypto familiarity

Tools

Rust

Job description

Kappa Lab, a digital-assets market maker, seeks a Quantitative Trader to own live market‑making strategies and prototype new ones. Join a hands‑on trading team, work with crypto assets across venues, and improve performance while managing risk in real time.

You will collaborate with engineering, utilize Python for analytics, and bring a proactive mindset to spot opportunities and move fast in a fast-paced market.