. Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering subject from a leading university. Excellent opportunity with a high-performing trading team rewarding package on offer with high growth more »
reporting ensuring accuracy and timeliness. Qualification and Experience requirements Degree in any recognized Degree in Finance, Accounting, Economics and other Quantitative discipline such as statistics, actuarial science etc. A master’s degree or Professional Certificate (e.g. CFA, FRM) would be an advantage. 5+ years working experience in the oil & gas more »
C++ (at least C++17, ideally later) Deep-level understanding of financial markets (equities, derivatives, options, futures) is crucial Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory Knowledge of options and products traded by volatility traders, e.g. Equity Options, Index Options, Variance/Volatility Swap At least a bachelor more »
for assistance from users of the e-learning software within client companies identify problems, bugs, database or user errors provide data analyses, reports and statistics to co ordinators of the e-learning programmes within large prestigious organisations worldwide liaise with colleagues in sales, customer success, development to provide excellent customer 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 »
Chertsey, England, United Kingdom Hybrid / WFH Options
Methods
level or equivalent SKILLS AND ATTRIBUTES: Essential – of the MS Office suite (Work, Excel, PowerPoint) academic background in numerical related fields such as maths, statistics etc. in data gathering and proposal write-ups thinking with the ability to pick up new ideas and subject matter quickly and methodical working practices more »
North Yorkshire, England, United Kingdom Hybrid / WFH Options
Candour Solutions
and clearly articulate findings for target audience Desirable Skills Graduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required. Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn more »
comprehensive recommendations in solution design, business process design, business policy setting, and business metric definition Quantitative and analytical skills (financial analysis, mathematical modeling and statistics, etc.) Ability to “dive into” the data to determine root-cause Desired ability to understand statistical forecasting models Desired ability to understand complex manufacturing arrangements more »
Series C. You thrive in a data leadership role that is equal parts strategic and hands-on. You have deep knowledge of machine learning, statistics and optimisation, with plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from multiple sources, including simulation more »
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
Unipart Logistics
Contractor Management, Incident Reporting, and CAFM systems Ensure data integrity and security in collaboration with IT departments Generate and analyse monthly health and safety statistics for management and board reports About You Wed love you to have the following skills and experience, but please apply if you think youd be more »
Reading, England, United Kingdom Hybrid / WFH Options
IGES Institut GmbH
to secure reimbursement. In total, the IGES Group employs more than 200 experts from the fields of medicine, economics, natural and social sciences, pharmacy, statistics and informatics. Today, the IGES Group comprises 14 companies at locations in Germany, the United Kingdom, France, Sweden and Switzerland. To strengthen and complement our more »
comprehensive recommendations in solution design, business process design, business policy setting, and business metric definition. Quantitative and analytical skills (financial analysis, mathematical modelling, and statistics, etc.) Ability to “dive into” the data to determine root-cause. Desired ability to understand statistical forecasting models. Desired ability to understand complex manufacturing arrangements more »
some exposure to logistics or supply chain management Excellent communication and collaboration abilities Demonstrated history of innovation in relevant fields PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field While we think the above experience could be important, we re keen to hear from people that believe they more »
working within high-performing technologyteams. Have at least two years of managementexperience. Have a degree (undergraduate or graduate) in a quantitative discipline such as statistics, physics, maths, economics, or computerscience. Optionally have served as founders or early employees of high-growthstartups. Apply Now Full Name Email Phone Number Website Upload more »
actively promoting Diversity, Inclusion and Equity within the firm. Qualifications: A Masters or PhD in a quantitative field, e.g. quantitative finance, computer science, economics, statistics, engineering preferred. Advanced python skills and strong understanding of relational databases. Exceptional quantitative skills with experience in developing and using financial risk models. Strong communication more »
Liverpool University Hospitals NHS Foundation Trust
updating of the siteand divisional workforce dashboards. Develop statistical reports from existing data sets for use in planning and report writing Use data/statistics/intelligence from multiple sources to determine a course of action orintervention. To produce business plans, and service development within resourcing and deployment,where appropriate more »
Head of Modelling Hybrid £100K The world of statistical modelling plays a huge part in the development of life saving treatments. This is an opportunity to work along side some of the world's largest drug development companies as the more »
Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »
Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »
Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »
equity markets Continuous improvement of trading models and modelling techniques Qualifications: 3+ years quantitative hedge fund or proprietary trading experience Msc or PHD in statistics, mathematics, computer science or other technical discipline Demonstrated proficiency in Python For more information on this role please share your CV or reach out to more »
their team to continue working towards their low carbon commitments. This is a great entry route into the energy trading market. Skills: Maths/statistics background Good understanding of algorithms Proficiency in Python Knowledge of cloud computing tools You will be joining a fairly new team with a flat hierarchy more »
of a tech-focused, meritocratic environment with the opportunity to learn the systematic trading business. Requirements: -BSc or higher degree in Computer Science, Mathematics, Statistics or similar discipline. -2+ years professional software/quantitative development experience. -Competency in Python, or Java/C++ and willingness to using Python moving more »
to continually improve existing strategies and develop new ones. Investigate and implement new trading products and strategies. Qualifications: Degree or higher in Mathematics, Physics, Statistics, Computer Science, or related fields. Strong experience in quantitative trading with a focus on futures. Experience in alpha generation with a proven track record of more »
trading products and strategies. Qualifications: Experience in systematic volatility trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong coding skills in languages such as Python, C++, or Java. Please follow Algo Capital for the latest job updates more »
