1 to 25 of 1,757 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 ❯

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. 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. More ❯

as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance-related bonus, Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. Good understanding of Machine Learning More ❯

as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance-related bonus, Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. Good understanding of Machine Learning More ❯

and training opportunities. A competitive salary with great advantages, such as a mobility budget, hospital insurance, performance related bonus, and more. Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field. 2-4 years of experience building production quality ML/Deep Learning pipelines and models. Good understanding of ML fundamentals and strong knowledge More ❯

as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance-related bonus, Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. Good understanding of Machine Learning 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 ❯

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 ❯

/ML and proactively identify opportunities to apply them within the organization. Qualifications & Experience (Required) Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering. Experience: 5+ years of professional experience as a Data Scientist, with a proven track record of building and deploying ML models in a financial services environment (Banking More ❯

and compliance teams to ensure efficient and compliant market operations. Work directly with clients and integration partners to support connectivity and troubleshoot production issues. Requirements Degree in Computer Science, Mathematics, Physics, Engineering , or related field (Master's or PhD preferred). Strong programming skills in Java or C++ , with a focus on low latency systems and performance optimization. Experience in 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 ❯

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 ❯