1 to 25 of 1,833 Mathematics Jobs

upgrades and model monitoring. Person Specification To succeed in this role, you'll typically have: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Hands on experience in machine learning engineering, including deploying, monitoring, and maintaining ML models in production environments. Experience in finance or insurance is an advantage but More ❯

like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business problems effectively. Strong foundational knowledge in mathematics and statistics, typically to at least MSc level, enabling rigorous analytical modelling. Demonstrated success driving cross-functional collaboration with product managers, engineers, and business stakeholders to deliver impactful, user-centric More ❯

Registry. Use of Databricks notebooks for collaborative development in Python, SQL, or Scala. Successful applicants should also possess: Bachelors' degree in Data Science, Analytics, Information Technology, Computer Science, Statistics, Mathematics, Quantitative Economics, Engineering, or equivalent professional education. Minimum of 3 years' experience in a Data Engineering role with a blue-chip consulting firm or in the Data Office/Data More ❯

Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural 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 ❯

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 ❯

and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join Work directly with Front Office trading teams on next-gen algorithmic trading systems. Gain exposure to real-time analytics, predictive modelling, and high-performance systems. More ❯

and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join Work directly with Front Office trading teams on next-gen algorithmic trading systems. Gain exposure to real-time analytics, predictive modelling, and high-performance systems. More ❯

other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics More ❯

a leadership role Preferred Qualifications (Desired Skills/Experience): Bachelor, Master or Doctorate of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science, Mathematics, Physics or other technical degree 9 or more years' related work experience or an equivalent combination of education and experience Experience with Cloud Computing technologies (AWS, Cloud Foundry/Tanzu More ❯

a leadership role Preferred Qualifications (Desired Skills/Experience): Bachelor, Master or Doctorate of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science, Mathematics, Physics or other technical degree 9 or more years' related work experience or an equivalent combination of education and experience Experience with Cloud Computing technologies (AWS, Cloud Foundry/Tanzu More ❯

Databrick & Data Factory Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, computer science, computer engineering, software engineering or equivalent Microsoft Azure Certifications (Fundamentals, Architect, DevOps etc.) Expertise in distributed computing architectures using service bus, and/or related technologies More ❯

the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science More ❯

production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL; experience with ML frameworks (e.g. More ❯

production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL; experience with ML frameworks (e.g. More ❯

. Optimise trading system performance and architecture across on-premise and cloud environments . Key Requirements of the Front Office Developer Master’s degree in Computer Science , Engineering , Financial Mathematics , or a similar quantitative field. 2–5 years’ experience in a software development or quantitative role. Strong programming skills in Python, C, C++, SQL , and/or C# . Solid More ❯

. Optimise trading system performance and architecture across on-premise and cloud environments . Key Requirements of the Front Office Developer Master’s degree in Computer Science , Engineering , Financial Mathematics , or a similar quantitative field. 2–5 years’ experience in a software development or quantitative role. Strong programming skills in Python, C, C++, SQL , and/or C# . Solid More ❯

science, ideally within energy, optimisation, or IoT-focused applications. Solid grasp of machine learning techniques such as regression, classification, clustering, and time series analysis. Degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering, Physics). Desirable: MSc or PhD in a related field. Experience deploying ML models in a cloud environment. Familiarity with Git , cloud data platforms, or Agile More ❯

skills and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in More ❯

direct tasks assigned to junior personnel. Candidates must possess the following knowledge, skills, and experience: Bachelor's degree in Electrical/Electronic Engineering, Computer/Software Engineering, Computer Science, Mathematics, Physics, or a related scientific discipline. Six (6)+ years of professional software development experience. Proficiency in one or more object-oriented programming (OOP) languages (e.g., Java, Python, C++). More ❯

for better managing our diverse environment. You'll need to have: Experience working with an object-oriented programming language like python or ruby A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience Expertise in analyzing, diagnosing, and solving problems in a Linux/Unix production environment Robust understanding of large-scale systems architecture A More ❯

and expanding client engagements. What you will bring Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences). 10+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a strong network in More ❯

container based applications Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience with cloud platforms Experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations Experience with Agile More ❯

container based applications Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience with cloud platforms Experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations Experience with Agile More ❯

container based applications Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience with cloud platforms Experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations Experience with Agile More ❯