1 to 25 of 1,694 Mathematics Jobs

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 ❯

as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to you More ❯

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 ❯

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 ❯

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 ❯

/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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯