in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or high-frequency environments Deep understanding of financial markets and quantitative modeling Preferred: Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks … e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in ML or quantitativefinance Please apply within for further details or call on Alex Reeder Harvey Nash Finance & Banking More ❯
systems Familiarity with networking tools (e.g., Wireshark), Solace , and 10GbE multicast Knowledge of FIX protocol and other market connectivity standards Domain Knowledge Front-office experience in FX trading or quantitativefinance Understanding of pricing algorithms , dynamic spreading , and FX ECNs FX Options knowledge is a plus Methodologies & Collaboration Experience with Agile, Scrum, or Kanban delivery frameworks Strong More ❯
EXPERIENCE REQUIRED: Some demonstrable commercial experience coding in Rust Understanding of trading strategies such as arbitrage, market-making, or execution flow Solid grasp of algorithm design, data structures, and quantitativefinance fundamentals including concepts like limit order books, price discovery, and microstructure dynamics Exposure to performance-critical systems: real-time data flows, shared memory communication, and techniques More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
throughput systems. Deep understanding of modern CPU architecture , cache optimization , and Linux performance tuning . In-depth experience with networking protocols such as TCP, UDP, Multicast, FIX. Familiarity with quantitativefinance , algorithmic trading , and implementing controls in automated trading systems. Proven experience with DevOps , Agile methodologies , TDD , and use of CI/CD tools. Background in API More ❯
skills including the ability to manage multiple projects in parallel. Education & Preferred Qualifications Four (4) year degree in a business or technical field such as Finance, MathematicalFinance, Economics, Engineering, or Computer Science. An advanced degree or industry certification such as the CFA is a strong plus. 8+ years of experience Additional Requirements The ability to More ❯
systematic reasoning. Deep experience with Q/KDB+ working in a similar environment, experience with TorQ framework for KDB+ advantageous. Have front office knowledge of the FI business or quantitative finance. UNIX/Linux OS knowledge. Knowledge about software delivery processes and methodologies and test strategies. Familiarity with qspec and qunit frameworks useful. Knowledge of Altair Panopticon would be … Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation. The firm mainly takes part in: Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. More ❯
systematic reasoning. Deep experience with Q/KDB+ working in a similar environment, experience with TorQ framework for KDB+ advantageous. Have front office knowledge of the FI business or quantitative finance. UNIX/Linux OS knowledge. Knowledge about software delivery processes and methodologies and test strategies. Familiarity with qspec and qunit frameworks useful. Knowledge of Altair Panopticon would be … Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation. The firm mainly takes part in: Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. More ❯
systematic reasoning. Deep experience with Q/KDB+ working in a similar environment, experience with TorQ framework for KDB+ advantageous. Have front office knowledge of the FI business or quantitative finance. UNIX/Linux OS knowledge. Knowledge about software delivery processes and methodologies and test strategies. Familiarity with qspec and qunit frameworks useful. Knowledge of Altair Panopticon would be … Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation. The firm mainly takes part in: Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. More ❯
london (city of london), south east england, united kingdom
Quanteam UK
systematic reasoning. Deep experience with Q/KDB+ working in a similar environment, experience with TorQ framework for KDB+ advantageous. Have front office knowledge of the FI business or quantitative finance. UNIX/Linux OS knowledge. Knowledge about software delivery processes and methodologies and test strategies. Familiarity with qspec and qunit frameworks useful. Knowledge of Altair Panopticon would be … Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation. The firm mainly takes part in: Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. More ❯
Location: London, UK Domain Focus: High-Frequency Trading (HFT) Experience: 4+ years of professional experience in HFT or a related quantitative trading environment International Talent: Yes, international applicants are encouraged. Are you an exceptional quantitative trader with a proven track record of success, who is looking for a new challenge? This is a rare opportunity to apply your … with insatiable curiosity and a proven history of turning complex data into market-beating strategies. Career Path: You've navigated a career focused on the practical application of advanced quantitative models to solve real-world trading problems. Your professional journey is marked by an evolution from model development to full-cycle strategy execution, where you've taken ownership of … trade-offs between speed and risk, and the ability to clearly articulate complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation More ❯
Location: London, UK Domain Focus: High-Frequency Trading (HFT) Experience: 4+ years of professional experience in HFT or a related quantitative trading environment International Talent: Yes, international applicants are encouraged. Are you an exceptional quantitative trader with a proven track record of success, who is looking for a new challenge? This is a rare opportunity to apply your … with insatiable curiosity and a proven history of turning complex data into market-beating strategies. Career Path: You've navigated a career focused on the practical application of advanced quantitative models to solve real-world trading problems. Your professional journey is marked by an evolution from model development to full-cycle strategy execution, where you've taken ownership of … trade-offs between speed and risk, and the ability to clearly articulate complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation More ❯