Venture Search
About the Company
Delivering high-performing recruitment solutions through collaborative partnerships.
By fully immersing ourselves in key specialist markets, we truly understand our clients’ and candidates’ specific requirements, enabling us to provide credible insights, bespoke solutions, and successful recruitment outcomes.
Our market specialisms include:
- Investment Banking & Advisory
- Public & Private Markets
- Global Markets
- Hedge Funds & Proprietary Trading
- Commodities
- Financial Technology
- Governance, Risk, & Compliance
Listed Jobs
- Company Name
- Venture Search
- Job Title
- Software Developer- High-Frequency Trading Firm
- Job Description
-
Software Developer
Leading Prop Trading Firm
London
Our client, a leading prop trading firm based in London, are looking for a Quant Developer to join their high-performance team.
As a Software Developer, your aim is to improve the firm's trading stack in any way that will make its trading strategies more competitive and profitable. In a high-frequency trading environment, this often means improving the end-to-end latency of the trading platform or increasing the scalability and precision of execution of the trading strategies.
Requirements
Responsibilities
Your main responsibilities are developing and rapidly evolving their main software components:
Develop low latency trading engine and strategy runtime
Develop market data distribution platform (internal binary protocols)
Develop and maintain exchange API connectivity and robust exchange connectors
Full automation around deployment and monitoring of a 24/7 trading system
Continuous profiling of trading system and strategy latency
Understand and reverse engineer exchange architectures
You will be part of a small development team that shares the responsibility of the whole trading stack. As you own the code, deployment and all tooling, you can rapidly and safely iterate on changes to the trading software.
Developers collaborate directly with traders and researchers, allowing for immediate reaction to market changes and fast iteration of live trading engines
Skill
Experience writing low-latency Java / C++ applications and architectures. HFT industry preferred but telecom and gaming industry experience also welcome
Ability to get the best performance out of application and networking stack of on-premise and cloud environment
Ability to benchmark, profile and trace full applications on Linux
Ability to find and resolve latency and throughput bottlenecks
Excited to pick up new skills to solve difficult problems (examples: eBPF, XDP, Intel PT)
The ideal profile has experience in the HFT industry combining software development and networking skills (TCP / UDP / multicast / WebSocket / HTTP).
While the firm is language agnostic, their current trading stack is mostly written in Java.
London, United Kingdom
On site
11-02-2025
- Company Name
- Venture Search
- Job Title
- Software Engineer- HFT Crypto Trading
- Job Description
-
Software Developer
Leading Prop Trading Firm
London
Our client, a leading prop trading firm based in London, are looking for a Quant Developer to join their high-performance team.
As a Software Developer, your aim is to improve the firm's trading stack in any way that will make its trading strategies more competitive and profitable. In a high-frequency trading environment, this often means improving the end-to-end latency of the trading platform or increasing the scalability and precision of execution of the trading strategies.
Requirements
Responsibilities
Your main responsibilities are developing and rapidly evolving their main software components:
Develop low latency trading engine and strategy runtime
Develop market data distribution platform (internal binary protocols)
Develop and maintain exchange API connectivity and robust exchange connectors
Full automation around deployment and monitoring of a 24/7 trading system
Continuous profiling of trading system and strategy latency
Understand and reverse engineer exchange architectures
You will be part of a small development team that shares the responsibility of the whole trading stack. As you own the code, deployment and all tooling, you can rapidly and safely iterate on changes to the trading software.
Developers collaborate directly with traders and researchers, allowing for immediate reaction to market changes and fast iteration of live trading engines
Skill
Experience writing low-latency Java / C++ applications and architectures. HFT industry preferred but telecom and gaming industry experience also welcome
Ability to get the best performance out of application and networking stack of on-premise and cloud environment
Ability to benchmark, profile and trace full applications on Linux
Ability to find and resolve latency and throughput bottlenecks
Excited to pick up new skills to solve difficult problems (examples: eBPF, XDP, Intel PT)
The ideal profile has experience in the HFT industry combining software development and networking skills (TCP / UDP / multicast / WebSocket / HTTP).
While the firm is language agnostic, their current trading stack is mostly written in Java.
London, United Kingdom
On site
13-02-2025
- Company Name
- Venture Search
- Job Title
- Quantitative Trader
- Job Description
-
Quantitative Trader / Researcher: Futures and Options
Location: London, UK
Venture Search is partnered with a tier 1 proprietary trading firm with almost 30 years of experience, known for its quantitative and highly profitable strategies.
The firm consists of top-tier professionals from diverse fields, fostering a collaborative and innovative work environment. Their expertise spans multiple asset classes, including equities, futures, options, and commodities, and they are known for their strong risk management practices and consistent performance.
They are looking to expand their Futures and Options division with traders and researchers to join the London office.
Role and Responsibilities:
Develop, implement, and deploy algorithmic trading strategies
Analyze market data, microstructure, and alternative data sources to identify patterns for potential trading strategies
Investigate high and mid-frequency alpha opportunities
Contribute to building and expanding libraries for data analysis and trading computations
Design, improve, and fine-tune exchange simulation models
Experience:
A degree (Bachelor's, Master's, or PhD) in Mathematics, Statistics, Computer Science, or another related STEM discipline
Strong knowledge of mathematics and statistics
Expertise in back-testing, simulation, and statistical techniques, including auto-regression, and auto-correlation
Advanced skills in data mining and analysis, with experience handling large-scale data or tick-level data
Familiarity with signal processing and statistical modelling methods
Proficient programming abilities in Python or C++
3+ Research / Trading experience within a MFT - HFT environment
London, United Kingdom
Hybrid
23-02-2025