Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning more »
management. Foster a collaborative and inclusive work environment that encourages innovation, knowledge sharing and continuous improvement. Background Skills & Experience A degree in data science, statistics, mathematics, economics, or a related field is preferred. Proven experience implementing and using data modelling tools. Proven experience in data analysis and data management. Proven more »
digital marketing analytics, preferably in a fast-growing B2B tech/SaaS business. Bachelor's or Master’s degree in data analytics, marketing analytics, statistics, or a related field. Strong proficiency with marketing analytics tools such as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital more »
and non-technical stakeholders. Proven track record of driving business results through data-driven decision-making Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) Benefits : Pension Office has a good vibe and good communication, growing all the time. Holiday entitlement - 25 days plus public/ more »
Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics into executive-level reports and presentations and articulating their implications for business decisions. Exposure to using operational MI to achieve business targets and improve performance more »
working closely with credit analysts, data scientists, senior management, and other stakeholders. What We’re Looking For: A strong Mathematical background in Maths, Physics, Statistics, Computer Science, or a related field. Excellent ability to analyze and interpret data to support decision-making. A team player with a balance of confidence more »
experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work experience more »
London, England, United Kingdom Hybrid / WFH Options
Culture Guru
model to mitigate the risk Create and maintain a central repository of member insights, sharing key messages from the analysis Provide accurate insight and statistics for inclusion in reports and presentations Conduct regular reviews with the broader team to discuss insight requirements and needs Identify opportunities to improve the performance more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oxford Economics
practices (CI/CD, containerization) Comfortable working independently and handling ambiguity Skills and Experience: Desired University honours degree qualification preferably in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience Domain experience/demonstrable interest in economics-related fields Experience or familiarity with AI model evaluation techniques more »
qualifications are highly desirable in our ideal candidate for this position:Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.Professional Experience: Extensive experience in data science, analytics, or engineering roles is required, with a significant portion in leadership positions. Prior experience more »
Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion more »
validation and decision support model relates roles. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.); Ideally have Advanced level of SAS or SQL programming – an equivalent level in an more »
activities Lunch allowance for use within our subsidized onsite canteen Must have skills Degree educated or equivalent in a relevant subject e.g. Quantitative Finance, Statistics Significant experience within investment risk management within the asset management or financial services industry with a focus on equities Extensive knowledge of capital markets and more »
with management responsibilities - performance reviews and feedback.Desirable skills/Preferred Qualifications:· Experience working with cloud integrations, preferably AWS.· Strong analytical and numerical skills (e.g., statistics, probability theory, numerical methods, stochastic calculus).· Exposure to stress-testing and regulatory capital (e.g. FRTB) requirements for risk management systems.Purpose, Values and MindsetWe deploy more »
data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant more »
and algorithms · Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git · Familiarity with Machine Learning and Statistics a plus · Excellent problem-solving and analytical skills. · Experience working in an Agile development environment. Our Amazing Benefits · Hybrid/Flexible working model · 25 days more »
self-driven working independently. Requirements: Must have experience in Computer Vision, and Visual SLAM MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages such as Python, C++ and Lidar Benefits: Hybrid more »
team-building abilities. Exceptional communication and interpersonal skills, with the ability to influence stakeholders at all levels. Advanced degree in Data Science, Computer Science, Statistics, Business, or a related field is preferred. Job Title: Chief Data Officer (CDO) Location: London - hybrid working more »
West London, London, United Kingdom Hybrid / WFH Options
Hays
new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: computational, chemistry, modelling, hit, lead, structure, ligand, homology, quantum, QMMM, molecular, dynamics, protein, degradation, data, manager, computer, science, drug, discovery, biotech, pharma more »
models and SABR. Experience/knowledge of Risk Models such as Value-at-Risk (VaR) and Stress methodologies. Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »
years or more of experience in a product and/or quantitative finance related role Advanced degree in a quantitative field such as mathematics, statistics or quantitative finance. Knowledge of developer workflows and an understanding of financial products and analytics. Knowledge of Fixed Income products and Credit Derivatives is preferred. more »
office Developers, trading, Market and other stake holders Your skills and experience: PhD qualification in numerate subject such as Mathematics, Financial Mathematics, Physics or Statistics would be beneficial Significant experience in a Model Validation or Front Office Quant role Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential more »
Experience/knowledge of FRTB, IRRBB and Risk Models such as Value-at-Risk (VaR) and Stress methodologies.. • Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. • Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »
team on vital and intricate aspects of our operations, assuming responsibility for specific areas from the outset. Technical skills An advanced degree in mathematics, statistics, physics, computer science Frontend programming (React, Angular etc...) Backend programming skills in Python (and Rust preferred) Strong familiarity with concurrency and OOP Comfortable working with more »
Stay up-to-date with the latest developments in quantitative finance and trading technology. Required Qualifications: PhD in a quantitative field such as Mathematics, Statistics, Computer Science, or related disciplines. Evidence of commitment to academic achievement (E.g. IMO medals, Dean's List, merit scholarships, etc.) Top peer reviewed publications or more »
