and extend open-source and commercial tools to meet domain-specific needs - Help shape internal best practices and technical standards About You: - Strong academic background in computer science, physics, mathematics, engineering or related field - Passionate about building robust, scalable software with a track record of delivering technical solutions - Deep programming experience in Python, C++, Rust or similar languages - Strong analytical More ❯
london, south east england, united kingdom Hybrid / WFH Options
Natobotics
/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing analytics, or e-commerce. More ❯
Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability. Education & Experience Master’s degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering . Proven experience (3–8 years) working on KDB+/Q projects, ideally within a financial or trading environment. More ❯
Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability. Education & Experience Master’s degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering . Proven experience (3–8 years) working on KDB+/Q projects, ideally within a financial or trading environment. More ❯
Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability Education & Experience Master’s degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering . Proven experience (3–8 years) working on KDB+/Q projects, ideally within a financial or trading environment Soft Skills Strong sense of teamwork and autonomy More ❯
global matrix organization and foster strong, collaborative partnerships across products, regions, and functions. Qualifications: Masters or Ph.D. preferred in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, or a related discipline. Demonstrable in data science or advanced analytics, preferably within financial services with a focus on commercial/corporate banking, credit, rates, FX, payments, trade, or More ❯
strategies. Publish proprietary research (SSRN/peer‐reviewed journals/industry conferences) and participate in industry working groups , enhancing the firm's visibility. YOUR PROFILE PhD in Physics/Mathematics/Computer Science/Quantitative Finance or related STEM field (exceptional MSc considered with relevant work experience). 4–7 years in quantitative research/engineering within capital markets; proven More ❯
methods applicable within risk management, portfolio construction, systematic investment strategies, cross-asset cash and derivative instruments and conventions are required. Graduate with an advanced degree (MSc or PhD) in Mathematics, Computer Science, Financial Engineering, Statistics, Physics or related scientific discipline, with any further professional qualifications being welcome. Strong programming skills in Python and SQL. Experience and exposure to data analytics More ❯
data Implementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks) Requirements :- Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background Expert in C++ Advanced programming skills in Python Strong Linux-based development Knowledge of machine learning and statistical techniques and related More ❯
of software engineering principles, data structures, and algorithms. Strong problem-solving skills and ability to work in an Agile environment. Educational Criteria : 1. Bachelor’s degree in computer science, Maths, IT, statistics or physics related field. 2. You should be entitled to work in the UK with legal work authorization status. 3. Must be willing to travel within the UK More ❯
of software engineering principles, data structures, and algorithms. Strong problem-solving skills and ability to work in an Agile environment. Educational Criteria : 1. Bachelor’s degree in computer science, Maths, IT, statistics or physics related field. 2. You should be entitled to work in the UK with legal work authorization status. 3. Must be willing to travel within the UK More ❯
ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis UK
ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis UK
ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis UK
ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯
search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles More ❯
business impact through data-driven innovation and effective execution in dynamic global environments. Qualifications: Masters or Ph.D. required in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, or a related discipline. Vast experience in data science or advanced analytics, with at least 3-5 years in a leadership role, preferably within financial services with a focus More ❯
more pro-active Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Master's or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Experience More ❯
complexity, can be addressed, are highly regarded. You will ideally be living in London or have the desire to relocate. Requirements :- A Master’s or a PhD degree in mathematics, statistics, physics, computer science. Very strong research skills and experience using sophisticated mathematical tools in different contexts Strong programming skills in Python or Rust. Track record of having a scientific More ❯
compiled language ( Rust preferred , C++ or Go also welcome) Deep understanding of market microstructure and the technical nuances of low-latency trading Background in a quantitative discipline such as mathematics, statistics, physics, computer science, or engineering (MSc or PhD preferred) Practical experience working with large datasets, real-time data pipelines, and cloud-based research environments Familiarity with version control systems More ❯
volume trading environments. Highly organised, with a proactive and analytical approach to problem-solving. Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Financial Engineering, Quantitative Finance, Mathematics or a related discipline. Professional background in FX brokerage, liquidity management, or electronic trading. Fluency in Mandarin. Performance-based bonus scheme with clear KPIs. Exposure to cutting-edge trading technologies More ❯
developers, QA, and operations stakeholders Monitoring model performance metrics and investigating anomalies in production environments. Your skills and experience Advanced degree (Master's or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) Experience developing models in a financial services or FinCrime setting Experience in model development, risk analytics, or quantitative compliance, preferably within financial crime More ❯
practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. Education Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. What you'll get in return: High-impact projects : Work on innovative AI products that solve complex, high-value challenges using More ❯
scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization More ❯
scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization More ❯
