in cross-national methodological debate and projects (including conference presentations and publications) Your Profile Solid formal qualifications (e.g. a Bachelors degree with a significant statistics element or a Masters/doctorate in a relevant topic) Substantial track record of working with survey, administrative and other large scale datasets to answer more »
Produce and issue monthly/annual Client reports incorporating key performance indicators (KPIs), engineer performance, relevant issues and concerns, legislative impacts, health and safety statistics, etc. Team Leadership and Supervision: Manage and supervise the service desk, overseeing performance and technical issues to ensure optimal service delivery. Supervise service engineers' performance more »
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 »
web-based development and visualisation technology for portraying large and complex data sets and relationshipsSubstantial quant development engineering experience with relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.Personal AttributesStrong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from 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 »
also be involved in other forms of quantitative/statistical advisory projects. You'll be someone with: Master's degree in Finance, Economics, Mathematics, Statistics, Engineering or Computer Science with an Interest in finance and financial instrument valuation, hedging and structuring. Familiarity in programming in a high-level language (e.g. 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 »
R - we use Python at Eki· Proficiency in Microsoft Office software such as Word, PowerPoint, and Excel· Degree in Economics/Econometrics, Maths/Statistics, Business Analytics, Data Science or a related field · Interest in working in a fast-paced and driven consultancy environment. · Clear and concise communicationWorking for EkiWorking 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 »
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 »
