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 ❯
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 ❯
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 ❯
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 ❯
application experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval - 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. - Publications 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 ❯
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 ❯
solutions by developing robust 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 ❯
design, algorithm design, data structures, problem solving, and complexity analysis. 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. EMEA More ❯
and GitOps workflows Familiarity with implementing automation that addresses regulatory requirements A proactive mentality and ability to collaborate with peers, stakeholders, and management A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms More ❯
Hounslow, England, United Kingdom Hybrid / WFH Options
MarkJames Search
Collaborate cross-functionally and externally to bring in leading-edge thinking, new data sources, and innovative modelling techniques. Candidate Profile: Educated to degree level in a quantitative discipline (e.g. Mathematics, Economics, Engineering) with additional training in forecasting, econometrics, or statistics an advantage. Solid understanding of the aviation, transport, or infrastructure sector, with strong commercial awareness and interest in global economic More ❯
leveraging Impacket for tasks like network relays, password spraying, and gaining elevated privileges are crucial for penetrating Windows environments. We're Seeking: Qualifications: A degree in Computer Science, Engineering, Mathematics, or Physics. Experience Level: Open to graduates/juniors and above. The more experience in red teaming, the better. Skills: Exceptional problem-solving abilities, with a flair for thinking on More ❯
demonstrable history of advocating for software quality and evangelising best practices. Experience with leading the process from ideation to production for brand new software systems. Relevant degree: Computer Science, Mathematics, Engineering, STEM. Bias for action-able to move quickly and make informed decisions. Experience working with cloud computing (AWS preferred, but any provider is fine). Why Join Us? Team More ❯
Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
targetjobs Hired
kick-start your career. To be eligible to join this Graduate Programme, you'll need: A minimum 2:2 degree classification preferably in a STEM field (e.g. Computer Science, Mathematics, Physics). If you don't have a degree in those fields but can demonstrate an applied interest in technology, then we'd still love to hear from you. To More ❯
AI workloads across clusters or custom infrastructure—not just deploying on standard cloud setups Strong debugging, profiling, and performance-tuning skills across the stack Degree in Computer Science, Engineering, Mathematics, or a related field Details Competitive salary ranging from £145k+, depending on experience. Stock options in a rapidly growing AI company. Based in our new 5,000 sq. ft. office More ❯