Algorithmic Trader (London)

G-20 Group; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading financial technology firm is seeking an experienced Algorithmic Trader to join their trading team in Greater London. The role requires a strong background in market making and algorithmic trading across various asset classes. Candidates must have at least 5 years of experience, a proven track record of profit generation, and skills in risk management and quantitative analysis. Join a pioneering team at the forefront of financial markets, driving innovation and excellence.

Qualifications

• At least 5 years of experience in algorithmic or electronic trading.
• Proven track record of generating consistent profits.
• Strong analytical and quantitative skills.

Responsibilities

• Manage algorithmic trading strategies in real-time.
• Refine quoting, hedging, and execution algorithms.
• Monitor algorithm performance and risk exposures.

Skills

Algorithmic trading

Market Making

Quantitative research

Risk management

Communication

Education

Degree in Finance, Mathematics, Physics, Computer Science, Engineering

Tools

Python

C++

Job description

About G-20

The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance.

Role Overview

Weareseeking an experiencedAlgorithmic Traderwitha backgroundin Market Making strategiestojoin our trading team. The ideal candidate will haveexperiencein designing, implementing, and managing automated market making strategies across multiple asset classes (FX, crypto, commodities, or equities). You willbe responsible foroptimizing quoting and inventory management algorithms,monitoringreal-time performance, andidentifyingnew opportunities in both liquid and fragmented markets. This role combines quantitative research, technology, and tradingexpertise, offering high autonomy and directPnLownership within a dynamic, data-driven environment.

Key Responsibilities

• Managealgorithmictrading strategiesin real-time.
• Continuously refine quoting, hedging, and execution algorithms to improve profitability and reduce slippage.
• Monitor algorithm performance, market conditions, and risk exposures during trading sessions.
• Collaborate withquants, developers, and data scientists to enhance models, signals, and execution logic.
• Analyze historical trading data toidentifyperformance trends and optimize parameters.
• Ensure compliance with market regulations, exchange rules, and internal risk controls.
• Contribute to strategy development and market microstructure research.
• Troubleshoot algorithmic issues, ensuring system uptime and reliability.
• Degreein Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university.
• At least5 yearsof experience in algorithmicor electronictrading, preferably in spot markets (FX, crypto, equities, or commodities).
• Proventrack recordof generating consistent profits (PnL>$2m for more than 3 years).
• Strong understanding ofmarket microstructure, liquidity dynamics, and execution strategies.
• Familiarity with real-time trading systems, data feeds, and marketconnectivity.
• Proven ability tomonitorand manage risk in fast-moving, high-volume markets.
• Strong analytical and quantitative skills, with attention to performance metrics and optimization.
• Excellent communication and teamwork skills, with the ability to collaborate effectively across teams.

Preferred / Desirable Experience

• Proficiencyin Python, C++, oranothertrading-related programminglanguage.
• Experience in market making, arbitrage, or statistical trading strategies.
• Exposure to low-latency or high-frequency trading environments.
• Familiarity with cloud infrastructure, containerized systems, or distributed data processing.

Right to work

We are hiring for our London,Zurich,and Singapore offices.Only candidates whopossessthepre-existingright to work inLondon,Zurichor Singaporewithout requiring company sponsorshipneedapply.

Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Deadline for applications: October 31st, 2025