Strong Excel/Google Sheets skills. Experience in commercial analysis (target building, forecast setting, promotional analysis). Strong communication skills. Awareness of digital marketing. A Level/degree in Mathematics or STEM. Knowledge of statistics. Python experience for data analysis. Hands-on experience with dbt. Awareness of data governance best practices. This is a hybrid role requiring at least three More ❯
Strong Excel/Google Sheets skills. Experience in commercial analysis (target building, forecast setting, promotional analysis). Strong communication skills. Awareness of digital marketing. A Level/degree in Mathematics or STEM. Knowledge of statistics. Python experience for data analysis. Hands-on experience with dbt. Awareness of data governance best practices. This is a hybrid role requiring at least three More ❯
methodology and construction Document and present research findings, white papers, and model specifications to internal and external stakeholders You'll need to have: Advanced degree in Financial Engineering, Economics, Mathematics, Physics, or a related quantitative discipline 3-10+ years of experience in financial markets, preferably in a research role focused on indices, derivatives, or commodities Strong understanding of pricing More ❯
systems with front-office applications. Stay abreast of regulatory developments and ensure compliance with relevant market risk capital requirements. Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, Finance, or a related field. Strong understanding of market risk principles and methodologies, including econometrics. Proficiency in Python and relevant libraries (Pandas, NumPy, SciPy). Solid understanding of time series More ❯
and making proposals. Manage or mentor one presales consultant Required Qualifications and Skills: BS/BA degree preferably in a quantitative subject such as finance, economics, engineering, computer science, mathematics, physics At least five years of experience in a presales capacity targeting enterprise software solutions to hedge funds, investment managers, and other financial institutions. An understanding of financial products including More ❯
an industry-leading platform powered by advanced quant analytics to reinforce UBS's position as a global Structured Products leader. Your Expertise Strong academic background in a quantitative field (mathematics, physics, engineering, computer science, etc.), with a postgraduate degree being a strong advantage. Ability to multi-task in a rapidly-changing environment and adapt to last-minute schedule changes. Understanding More ❯
finance or business tools and processes BASIC QUALIFICATIONS - 4+ years of tax, finance or a related analytical field experience - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, or a Bachelor's degree and experience in tax, finance or a related analytical field - Experience with advanced use of SQL for data mining and More ❯
Design, implement, and maintain scalable retrieval and agentic systems. Implement testing and CI/CD practices for AI system development. Is this you? Bachelor's degree in CS, Engineering, Mathematics, or related field, or equivalent experience. Proficiency in Python programming. 5+ years of experience in software engineering and AI/ML development, including: Experience with production software and systems design. More ❯
in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences More ❯
frameworks (e.g., TensorFlow, Keras, Spark, LangChain) Strong software engineering foundations, including experience delivering code through CI/CD pipelines in cloud environments Solid grounding in linear algebra, statistics, and mathematics A natural problem-solver - curious, analytical, and impact-driven Proven ability to work collaboratively with engineering and product teams in cross-functional settings What would push your application to the More ❯
k8s 3-5 years programming and software engineering in industry , working with Python. 2+ years researching and developing AI based features. Bachelors degree or higher in Computer Science, Physics, Mathematics, Electronic Engineering, or similar. Reasonable London salary Employee options scheme (EMI) Office-based team Access to all Grasps learning tools for your personal self-study Dinner/Breakfast Statutory pension More ❯
executives. Coach and mentor team members. What you'll bring 3-5 years of professional work experience in the analytics domain. An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.). An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis. Strong technical skills regarding data analysis, statistics, and programming. Strong working More ❯
Implement robust data solutions and scalable data architectures. - Develop and improve the operational excellence, data quality, monitoring and data governance. BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline. - 3+ years of experience as a Data Engineer or in a similar role. - 3+ years of experience with data modeling, data warehousing, ETL/ELT More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
develop junior analysts, supporting both technical and career development. YOUR PROFILE Experience in credit risk and lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian More ❯
develop junior analysts, supporting both technical and career development. YOUR PROFILE Experience in credit risk and lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian More ❯
of data infrastructure, including input systems and engineering pipelines, to debug user issues Required Qualifications: A degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. At least 8+ years of experience in an analytics or data-oriented role Prior experience supporting at the executive level across GTM, sales strategy, sales/marketing/ More ❯
effectiveness of the team Collaborate with software developers to maintain or productionize risk tools Required Experience and Skills: Bachelor's Degree in a technical or quantitative field (Financial Engineering, Mathematics, Financial Math, Statistics, Computer Science) 3-5 years of work experience Knowledge of financial markets and financial instruments; exposure to related risk analytics and pricing preferred Previous programming or scripting More ❯
company's management system (ZIMS) requirements at all times. Requirements Preferred Education & Experience: 1-2 years of experience in an analytics role. A strong degree or equivalent in sciences, mathematics, engineering, or related fields. Experience manipulating data sets using SQL, Python, or Excel. Experience managing data from multiple sources. Strong organizational, problem-solving, and analytical skills with attention to detail. More ❯
practices. CANDIDATE PROFILE The successful candidates will have the following attributes: A 2:1 or above in a STEM subject. Excellent A-levels, minimum AAB, including an A in Maths (or equivalent). Passion for programming and experience with an object-oriented language such as C#, Java, C++, or Python. Ability to apply technology and solve problems systematically. Logical, organized More ❯
efficiently as possible Cross-team collaboration, communicating all key elements that impact the well-functioning of the ML solutions Qualifications Postgraduate degree in a relevant discipline (e.g. IT, STEM, Maths, Computer Science) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of ML packages and frameworks Skilful in writing well-engineered code using Spark, and advanced SQL More ❯
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual More ❯
new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready More ❯
back-office IT to accomplish all the tasks of the Risk Valuation group. Qualifications To land this role you will need: Bachelors and Masters' degrees in Financial Engineering/Maths/Computer Science/Finance. Good analytical and problem solving skills. Team player Strong organisational skills with an interest in working in a fast-paced environment, often balancing multiple high More ❯
and system integration Growth & Ownership: Take on increasing responsibility and help shape our technical direction, incorporating new technologies and proven best practices Qualifications Education: BS in Computer Science, Engineering, Mathematics, or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed More ❯
