or at least a strong understanding of micro economic principles. You will be experienced in quantitative economic analysis, in particular knowledge and experience of statistics and econometrics, ideally applied in the utilities sectors. This will include at least some exposure to STATA. Skills we’d love to see/Amazing more »
Information System Manage Data flow and reporting capabilities, support Governance for Assessment processes Link Assessment to Mentoring topics Requirements: Psychological background- MA in Psychology, Statistics or Data management, or HR Desired: Work experience at a psychological assessment company, or in-house role (eg. SHL, DDI), reporting on data, process development. more »
in applying tools from finance, mathematics, and data science to provide pragmatic and robust solutions to real-world problems. Strong knowledge of mathematics and statistics as applied to finance and credit risk. Hands on experience in credit risk modelling or the valuation of financial products. A master’s degree in … Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. Desirable previous credit risk modelling experience or the building and/or validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level language (e.g., Python, R, MATLAB more »
London, England, United Kingdom Hybrid / WFH Options
Xcede
the strategy for multi-million pound decisions! REQUIREMENTS Masters/PhD degree in Computer Science or STEM subject Commercial Data Science experience Knowledge of statistics and common supervised machine learning algorithms. Time Series & probabilistic modelling experience is preferred. Experience in delivery of end-to-end machine learning models An interest … not provided for this role For more information, please apply here or send an up-to-date CV to morgan.beck@xcede.com Machine Learning, ML, Statistics, Python, SQL, Finance, Investment, Predictive modelling, Engineering, Financial modelling more »
Work in our strong and diverse Data Science team, in which you will take full ownership of your work Qualifications: PhD or Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other more »
The client is an established and well renowned Systematic Hedge Fund, known for its strong performances since inception. They foster a collaborative environment between Research and Trading teams based across London, New York, Paris, Hong Kong, and take pride in more »
This role gives great exposure to the research and development of systematic trading models. You will be working very closely with other Quants in the team, understanding requirements and identifying opportunities to improve current systems, software and technical components of more »
Investment Operations Associate: Our client is a London based Hedge Fund. Role: Proactively identify opportunities for process improvement and autonomously manage these projects. Daily “t+1” trading reconciliation of trading positions and cash accounts. Daily trade settlements and escalation of failing more »
review culture within the team Requirements Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »
models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. more »
and internal stakeholders, serving as a trusted advisor and thought leader in the field. Qualifications: Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or related field. Proven experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions. Proficiency in programming languages 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 »
top-tier university High confidence in their ability to create new strategies both independently and with team collaboration A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Data-mining skills paired up with data analysis more »
oversight of the production of risk reports and analytics covering all exposures and drivers of risk and PnL Requirements: A Degree in Mathematics, Physics, Statistics, Engineering or an equivalent in other science disciplines 4-10 years experience working within a Market Risk or Investment Risk role overlooking hedge fund strategies. more »
Have a university degree in computer science, preferably combined with additional courses in mathematics or mathematical statistics. Intermediate to strong understanding of basic combinatorics, statistics, and probability theory. Know how to create simulators using random number generators that can execute a large number of iterations as time efficiently as possible more »
to analyze market data, build quantitative models, and execute trades across various asset classes. The ideal candidate will have a strong background in mathematics, statistics, and programming, along with a passion for financial markets and algorithmic trading. Key Responsibilities: Research and analyze market data to identify patterns, trends, and opportunities … ensuring that all trading activities are conducted in accordance with applicable laws and regulations. Qualifications: Master's or Ph.D. degree in quantitative finance, mathematics, statistics, computer science, or a related field. Minimum of 2-3 years of experience in quantitative analysis, algorithmic trading, or a similar role within the financial more »
5+ years of experience in Machine Learning or Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus) and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python more »
reporting and majority shareholding reporting. Management Information – Produce high quality, informative and accurate Management Information regarding the status of the Compliance Monitoring Programme, AML statistics and other Compliance data. Working to tight timelines. Assess the effectiveness of current policies, procedures, monitoring and controls. Implement change to improve and where required more »
to ensure the seamless integration of your quantitative models into our trading systems. The ideal candidate will possess a strong background in quantitative finance, statistics, and programming, with a demonstrated ability to develop and apply complex mathematical models to real-world financial market scenarios. Responsibilities Develop, implement, and maintain sophisticated … suggest improvements and innovations to the team's processes and tools. Requirements Master's or Ph.D. degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing and implementing more »
will be: Working across the entire business liaising with the estimating department to produce accurate and compelling bid responses, preparing evidence-based examples and statistics, updating the tender library. Working closely with the sales director on bid strategy Identifying and evaluating Contract Notices, PQQs, and tenders with the wider business more »
bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world more »
London (SW1P 4RG), London, United Kingdom Hybrid / WFH Options
Penna
You As a Data Scientist, you’ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python … and Data Profession Capability Framework for the role. This will draw on your skills and experience in the area(s) detailed below ● Applied Maths, Statistics and Scientific Practices ● Programming and Build (Data Science) ● Data Science Innovation ● Data Engineering (Data Science) For more details, please click the link: Data scientist - Government more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oho Group Ltd
Test Hardware Engineer – Hybrid Working (Surrey) - £40,000-£50,000 A global household name within F1 and the automotive industry are looking for a strong Test Hardware Engineer to join their team based in Surrey. They are trying to pioneer more »
City of London, London, United Kingdom Hybrid / WFH Options
Hays
dealing with collaborators, stakeholders and vendors/CROs, you should have: A BSc (or equivalent experience) in a discipline such as computer science, biometrics, statistics, IT, or a life sciences discipline such as chemistry, biochemistry or biology Experience of the clinical drug development environment including experience in clinical software development … 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: clinical, data, management, manager, quality, systems, process, compliance, controls, tools, CSV, validation, regulatory, compliance, computer, systems, SDTM, ADAM, CDISC, SAS, Snowflake, QA more »
