your profile has been matched to an open role. Essential Qualifications : Expert knowledge in Python Experience of signal research implementation Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with more »
with data pipeline development and automation. coding skills (mainly with Python) knowledge (understanding of risk concepts such as VaR calculations) and good understanding of statistics with version control systems (Git) Experience with big data frameworks, databases, distributed systems, Cloud or Web development. Experience with any of these: SQL, JavaScript, TypeScript more »
Finance for compensation payouts to Sales team members in plans. Drive to improve sales processes Qualifications : A bachelor’s degree in business, finance, economics, statistics, or a similar field. 3+ years of experience analyzing complex data. Proficiency with data analysis tools, including advanced proficiency in Excel. Strong mathematical skills required. more »
main requirements are listed below: project management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of more »
compensation initiatives. Desired Qualifications & Experience: BA degree, MBA 7+ years of experience in rewards or compensation and benefits function Other Capabilities: Strong analytical skills Statistics and Math skills required Knowledge of Market Data within the comp & benefits space across the MENA region. Strong business acumen required. Strong eye for details more »
South East London, England, United Kingdom Hybrid / WFH Options
Anson McCade
systematic tradingREQUIREMENTS3+ years of experience using C++ (14/17/20) and developing low latency code.Bachelor's degree in a Quantitative Field; maths, statistics, computer science, etcExperience with Distributed Computing, Platform Development, Networking, and System Design.Exceptional analytical and quantitative skills BENEFITSCompetitive base salary between £140,000 and £200,000Bonus more »
Greater London, England, United Kingdom Hybrid / WFH Options
E.L.F. BEAUTY
Team Our employee base represents the consumers we serve, and we are committed to ensuring that diversity is represented across our entire organization. Key statistics and notable awards include: employees are 75% female and 40% diverse representing the consumers we serve. are a leader in board diversity. We are more »
/ML resarch work within a strong team to drive innovation within the company. YOUR SKILLS & EXPERIENCE Strong academic background in a relevant field (Statistics, Computer Science, etc.) - PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of AI , machine learning, and deep learning-based more »
Greater London, England, United Kingdom Hybrid / WFH Options
Career Moves Group
identify opportunities for new features, products, and partnerships Requirements/Qualifications: Experience in research, analytics, or ad effectiveness A bachelor’s degree in psychology, statistics, economics, behavioural or social science or a related field An understanding of online advertising and familiarity with branding and performance advertising and marketing frameworks, including more »
specific checklists addressing the needs & requirements of each vessel – document in vessel logbook and follow-up with Tech. Supt. for closure. Create technical performance statistics and KPI’s showing CLIENT performance indexes with benchmarking against competition. Attend technical clarification meetings with clients as if and when required Coordinate technical assistance more »
/limits Help develop risk management framework Experience Required: B.S./M.S. from a leading university in a quantitative discipline such as math, physics, statistics, computer science, engineering, or economics Ability to solve problems using quantitative models and methods Trading/Research experience where quant/systematic techniques are used more »
preparation. Monthly, quarterly and annually compiling and checking of records. Drive development of local to regional business through provision of specialist advice. Provide reporting statistics to develop business opportunities. Key Qualifications/Experience Located in the UK. Experience as an associate trader working within a trading environment. Understanding of the more »
delivery.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 and quality more »
succeed in a high growth, fast moving role. Ability to work autonomously whilst reporting to direct management as required, including reporting on key training statistics including client satisfaction. A high level of attention to detail. Committed to ongoing professional development. Be forthcoming and proactive in suggesting new ideas, identifying areas 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 »
quant researcher or trader, or in data science/machine learning space. - PhD holder in a quantitative field such as computer science, data science, statistics, mathematics, physics or engineering - Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus - Capacity to multi-task in a fast paced more »
Data Scientist/Quant Analyst Sports Analytics & Statistics Consultancy 4 days office, 1 day WfH Up to £75,000 + bonus *Please note this role requires experience in building sports betting models. Please do not apply if you don't have the experience* Our client is a leader in the … to know what techniques and tools are available, and understand the trade-offs of using different approaches. Data Scientist/Quant Analyst Sports Analytics & Statistics Consultancy 4 days office, 1 day WfH Up to £75,000 + bonus more »
Job DescriptionThe 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 more »
enhancement of existing reports. Support on maintaining the report database by assigning Data Owners to all reports. Requirements and Skills: Study Background: Major in Statistics or Mathematics. Work Experience: More than 3 years working experience in data analysis. Insurance work experience. Understand the property insurance business, including underwriting, claims, reinsurance … Excel and Powerpoint. Strong background in developing Data Dictionary and Data Asset management. Experience in data modeling and data analysis with relevant qualifications in statistics or data analysis. Project management experience, experience as a project organizer is preferred. Have a strong self-learning ability. Fluent in Chinese. more »
Job DescriptionThis 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 more »
Software Engineer/Scala Sports Analytics & Statistics Consultancy 4 days office, 1-day WfH Scala Software Engineer – London A Scala Software Engineer is required for an exciting and innovative Software sports betting company based in London. The successful scala software engineer will be responsible for helping build and maintain the … many opportunities to progress your Scala functional programming career. Send your CV for immediately review and further details. Software Engineer/Scala Sports Analytics & Statistics Consultancy 4 days office, 1 day WfH more »
London - LHR16 We are open to hiring candidates to work out of one of the following locations: London, GBR Basic qualifications Degree in mathematics, statistics, computer science, engineering, economics or related field Experience translating roadmaps and key performance indicators as well as recommendations to senior leaders Experience in quantitative research more »
metrics, reports, analyses, and dashboards that monitor and to drive key business decisions. Basic qualifications Bachelors degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience Experience in analytics, data engineering, market research or related field Experience managing and hiring a team of business intelligence more »
market. Undertake and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a more »
London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
market. Undertake and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a more »
