consulting environments. Strong proficiency in Java, including multi-threaded programming and modern frameworks (Spring, Google Guice). Graduate degree (Master's or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, or Computer Science. Demonstrated experience with electronic trading infrastructure, including pricing engines, execution logic, and trade lifecycle components. Advanced statistical modelling skills and experience working with large More ❯
engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift More ❯
have experience of analysing Trial Balance Sheet and preparing Balance Sheet and Profit & Loss, as well as consolidating accounts. Education: Preferably an undergraduate or equivalent degree in Finance, Accounting, Maths, Statistics, Business or Economics. Otherwise a good standard of education to at least A Level standard or equivalent, A levels should include Maths. Accountancy qualifications, i.e. ACCA, ACA or CIMA. More ❯
We are committed to quality with a strong testing culture Person Specification You have a MSc or PhD in Bioinformatics/Statistical Genetics/Computational Biology/Biostatistics/Mathematics/Physics You have a strong understanding of data science, either through experience in academia through a PhD or a minimum of three years industry experience post MSc You have More ❯
management methodologies Drive XVA-related projects Mentor intern and work in collaboration with other members of the team Geographical area Europe, United Kingdom City London MSc in finance, economics, maths, engineering, or other numerate degree Experience Experience in capital markets: risk department (preferably market risk), or trading Strong knowledge of derivatives products Robust understanding of market risk. Counterparty risk desirable More ❯
product control, and IT. Contribute to the proof-of-concept and delivery phases of new risk systems replacing existing third-party tools. Required Qualifications & Skills: Education in Mathematical Finance, Mathematics, Physics, Engineering, or a related quantitative discipline (PhD preferred). Strong knowledge of derivative pricing models, ideally across FX and exotics (experience with linear products also accepted). Proven experience More ❯
any experience or interests you have in other engineering disciplines. Our team members have a variety of backgrounds The people in our team come from backgrounds in robotics, physics, mathematics, aerodynamics, psychology, embedded systems, and computer science. Some have experience in large corporations, other have only ever worked for Tharsus. One person loves pottery; another likes flying planes - we're More ❯
Engineer, Platform Engineering Join our Quant Strat Platform team within Commodities and Global Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making. At Macquarie, our advantage is More ❯
encouraging the wider data warehousing user community to adopt coding and solution design best practices Candidate Requirements Good educational background in relevant field, such as Computer Science, Engineering and Mathematics At least 3-5 years proven working experience in data warehousing and/or data-related roles Excellent client-facing, written and communication skills Strong understanding of data warehousing and More ❯
detailed automated dashboards 5. Creating the report requires extracting & transforming data from tables and loading it into tables with an optimized data structure BASIC QUALIFICATIONS - Bachelor's degree in mathematics, engineering, statistics, computer science or a related field - 1+ years of business analysis (dealing with large complex data) experience - Demonstrated ability with Data-warehousing, database administrator roles, database migration - Strong More ❯
Variance Swaps). * Liaise with Front Office, Technology and Model Validation teams, to deploy the risk model to production Key Skills & Experience: * Ideally possess a Masters or PhD in Mathematics/Computer Science or related field * Mathematically minded (knowledge of financial mathematic, ability to program numerical algorithms in C++): * Experience in Front Office & Derivatives modelling * Theoretical knowledge of financial engineering More ❯
of Generative AI and experience using LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with leading-edge cloud and More ❯
speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents or publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯
the opportunity to work on some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise More ❯
the opportunity to work on some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise More ❯
clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility. Preferred Skills: Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version More ❯
What Were Looking For Were looking for someone with a passion for technology and finance. The ideal candidate will have: A 2:1 or higher degree in Computer Science, Mathematics, or Physics A legitimate interest in cryptocurrency, blockchain, and the future of digital finance Strong analytical and problem-solving abilities in addition to excellent numerical and written communication skills Must More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Barclay Simpson
product control, and IT. Contribute to the proof-of-concept and delivery phases of new risk systems replacing existing third-party tools. Required Qualifications & Skills: Education in Mathematical Finance, Mathematics, Physics, Engineering, or a related quantitative discipline (PhD preferred). Strong knowledge of derivative pricing models, ideally across FX and exotics (experience with linear products also accepted). Proven experience More ❯
product control, and IT. Contribute to the proof-of-concept and delivery phases of new risk systems replacing existing third-party tools. Required Qualifications & Skills: Education in Mathematical Finance, Mathematics, Physics, Engineering, or a related quantitative discipline (PhD preferred). Strong knowledge of derivative pricing models, ideally across FX and exotics (experience with linear products also accepted). Proven experience More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Barclay Simpson
product control, and IT. Contribute to the proof-of-concept and delivery phases of new risk systems replacing existing third-party tools. Required Qualifications & Skills: Education in Mathematical Finance, Mathematics, Physics, Engineering, or a related quantitative discipline (PhD preferred). Strong knowledge of derivative pricing models, ideally across FX and exotics (experience with linear products also accepted). Proven experience More ❯
and Analytics activities. Create and maintain comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications : Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or More ❯
and Skills: Over 4 years of professional experience; exceptional candidates with less experience may be considered. Bachelor's degree from a recognized university; degrees in Computer Science, Engineering, or Mathematics are preferred. Excellent team player with a strategic outlook and rapid application development skills. Strong technical skills in at least one core programming language (Java or C#) and one scripting More ❯
design, data structures, problem solving and complexity analysis. PREFERRED QUALIFICATIONS - Previous technical internship(s) if applicable. - Experience with distributed, multi-tiered systems, algorithms, and relational databases. - Experience in optimization mathematics such as linear programming and nonlinear optimisation. - Ability to effectively articulate technical challenges and solutions. - Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Amazon More ❯
the team. Ad-hoc analysis: Perform ad hoc analyses to support various departments and provide venue-specific insights for strategic decisions. Qualifications Degree in a relevant discipline (e.g., STEM, Maths, Statistics, Physics) or equivalent experience. Experience in an analytical role, preferably within the gambling or gaming industry. Proficiency in SQL and at least one of Python, R, or SAS. Knowledge More ❯
client to server side Be open to learning and using any language needed for the role (mainly C++) You'll need to have: A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience. Hands-on experience in developing risk solutions using C++ (or other object oriented language) Experience building software applications for the Fintech domain More ❯
