1 to 25 of 83 Mathematics Jobs in the City of London

looking for Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field. Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while … the development, backtesting and monitoring of strategies in live trading. Requirements: The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering. Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc. Experience/knowledge of finance More ❯

is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very More ❯

the learners line managers on a quarterly basis to review progress. Adhering to all compliance requirements for the qualification Supporting the Skills for Business team to engage learners through Maths & English qualification where relevant. Person Specification Corndel is looking for exceptional talent, people who want to make a difference and who are used to working hard and achieving personal success. … content and delivery style to different audience levels. Additional ideal technical skills required Digital engagement tools (menti/Miro/Whiteboarding etc) Degree or higher in Computer Science, Engineering, Maths, Data Science or a related field (desirable) Relevant certifications (e.g., Google Professional ML Engineer, Microsoft AI Engineer, AWS Machine Learning Specialty) are a bonus Core competencies Active Listening - The ability More ❯

validation reports that meet internal governance and regulatory expectations. Maintain ongoing monitoring of model performance, usage, and limitations. Candidate Profile: MSc or PhD in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Experience in model validation, quantitative analytics, or model development within a trading or investment banking environment. Strong understanding of pricing methodologies for derivatives, including More ❯

is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required: Ideally … a MSc in Mathematics, Statistics, Data Science, Computer Science or Physics from strong University from across Europe. Proficient in several of the following: Python, MATLAB, C#, C++, Java Strong research background Mathematical and statistical modelling Excellent Mathematical skills Analytic mindset If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed More ❯

or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

and collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. Strong analytical and innovative thinking skills, with More ❯

or Python Proficiency with a modern JS front end framework (React, Vuejs, Angular) Experience with cloud architecture (Azure, AWS or GCP) In depth knowledge of relational database Degree in Maths, Engineering, Computer Science or related Proven experience building scalable systems/applications in start ups OR greenfield projects in a larger org (eg start up like team incubated in larger More ❯

and dashboard tools (such as PowerBI) to enhance user accessibility to quantitative insights and reports Requirements & Qualifications Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Physics, Statistics, Econometrics, or Quantitative Finance. 2–5 years of hands-on experience as a quant developer or analyst within a financial institution. Demonstrable Python experience in a collaborative, version More ❯

of a collaborative, agile team—developing intelligent solutions that support fair and effective credit decisions. We’re looking for someone who: Has a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field Brings advanced SQL skills and strong experience with Python (pandas, sklearn, seaborn, etc.) Understands the mechanics behind ML algorithms—not just how to run them Enjoys More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

computer models, and synthesising the results. You will be required to take a methodical approach to problem solving and be comfortable with IT. Joining the company with an engineering, maths or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical detail internally and to external clients who do not necessarily have technical knowledge of the More ❯

consumption data and provide insights on financial performance and trends. Manage collateral and credit requirements related to energy procurement. What We’re Looking For Bachelor's degree in Engineering, Mathematics, Physics, Commerce, or a related field (Master’s degree a plus). 5+ years of experience in energy procurement, trading, or energy cost management. Deep understanding of European energy markets More ❯

and reconciliation processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics, Economics, Statistics, or related field 8+ years of professional experience Strong Proficiency in SQL, MS Office Suite, particularly Word, Excel, and PowerPoint Ability to work independently and collaboratively within a More ❯

with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. Familiarity More ❯

Functional Collaboration: Contribute to cross-asset initiatives and research projects, working alongside peers from other quantitative functions across the platform. Requirements & Qualifications Degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics, or Computer Science (advanced degree such as a Master’s or PhD preferred). Proven experience developing financial models in Python and bringing code into production environments. … products and the underlying mechanics of asset-backed financing, with direct exposure to SRT transactions and other ABS instruments (highly preferred). Deep familiarity with statistical methods and applied mathematics in a financial context. Exposure to cloud platforms (e.g., AWS) and experience managing large datasets through modern data infrastructure. Ability to work through complex problems independently and collaboratively, with a More ❯

a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your More ❯

and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD More ❯

performance of existing strategies. Develop a deep understanding of global market structures and microstructure dynamics. Requirements Advanced academic degree (PhD or Master's) in a quantitative discipline such as Mathematics, Physics, Computer Science, or Engineering. Strong programming skills in at least one core language - Python , C++ , or Java . Proven experience in quantitative research or systematic trading environments. Excellent communication More ❯

experienced data science team of 30+ specialists. ✅ What You’ll Need: 5–7 years’ experience applying data science to business problems. Educated to at least degree level in Statistics, Mathematics, Machine Learning, Computer Science, Chemistry, Physics, Economics or related field. Advanced skills Python and SQL (Pyspark a bonus). Experience with statistical modelling and machine learning workflows. Confidence working across More ❯

science libraries (NumPy, Pandas, scikit-learn) and backtesting frameworks Deep understanding of market microstructure and electronic execution Bachelor’s/Master’s/PhD in a quantitative field (e.g. Mathematics, Physics, Computer Science, Engineering) Strong grasp of probability, statistics, and linear algebra Ability to handle high-pressure, high-frequency environments with precision and accountability Preferred Experience Experience with low-latency More ❯