25 of 25 Statistics Jobs in the City of London

Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes. Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.) Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra. Experience conducting hands-on analytics projects ...

data analysis team. Assist with calculating business performance and provide training to colleagues. Requirements: Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, Marketing, or a related field. Strong interest in data analysis, market research, business intelligence, and data-driven decision-making. ...

side or sell-side with a genuine interest in sustainable investing Undergraduate degree in a quantitative discipline such as finance, economics, mathematics, statistics, computer science or a related field Strong programming skills, particularly in Python and SQL, with experience manipulating and analysing large datasets Experience using modern generative AI tools ...

programming (Gurobi, CPLEX, OR-Tools). Experience with network optimisation, routing, scheduling, pricing or revenue management. Advanced degree (MSc or PhD) in Data Science, Statistics, Mathematics, Computer Science, Operations Research ...

analytics solutions rather than reporting alone Strong stakeholder management and communication skills Experience explaining insights to non-technical audiences Understanding of statistics, predictive analytics or modelling techniques Python experience would be highly beneficial Experience working within complex operational environments would be advantageous A pragmatic approach with the ability to work ...

Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills and experience working with relational databases. Sound understanding of statistics, predictive modelling and machine learning techniques. Experience working with geospatial datasets using GeoPandas, QGIS or similar technologies. Ability to work with large and complex datasets ...

e.g. AWS Redshift, Databricks etc.) Dashboarding & Reporting Strong experience building and maintaining dashboards in BI tools such as QuickSight, Looker, Tableau, or Power BI. Statistics & Experimentation Solid understanding of statistical concepts (i.e. A/B testing, regression analysis, and experimental design). Automation & AI Tooling Curious and pragmatic about ...

standard for technical execution, design thinking, and engineering rigor You’ll need to have: A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field or degree‐equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows ...

modelling are used across the audit lifecycle. Essential Requirements: Degree (Bachelor’s, Master’s or PhD) in a quantitative field (e.g. mathematics, physics, statistics, computer science, finance or engineering), or equivalent experience. 2-5 years of experience in analytics or modelling within financial services. Strong attention to detail with experience ...

Oracle, with hands-on experience in data quality frameworks and automation tools. Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality ...

Frameworks: Ktor, Spring Other Skills (that will be a plus): Full stack experience and willingness to dive into other levels of web applications Applied statistics skills: distributions, statistical testing, regression analysis Cloud management and deployment – A strong background in different cloud platforms like Amazon AWS, Microsoft Azure, OpenStack Apache ...

production execution Review research reports and articles that examine recent developments in the energy markets Qualifications: Pursuing Bachelors or Masters in Mathematics, Engineering, Finance, Statistics, Business, Economics, Energy, Computer Science, Physics or a related field of study Expected graduation date in 2028 Prior internship/exposure to the commodities markets ...

Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences Qualifications Skills we're looking for: Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding ...

looking for PhD completed or nearing completion (within next 12 months max) from a leading global university Strong academic background in Mathematics, Statistics, Physics, Computer Science, Machine Learning, Econometrics, Operations Research or a related quantitative field Evidence of exceptional research ability, such as publications, academic awards or work on technically ...

optimize model performance in live trading environments. Basic Qualifications Education: Ph.D. or Master’s degree in Machine Learning, Computer Science, Physics, Applied Mathematics, Statistics, or a closely related quantitative discipline from a top-tier academic institution. Programming Expertise: Advanced proficiency in Python and C++ within a Linux/UNIX environment. ...

/CD pipelines Familiarity with Microsoft Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote ...

launch Partner with product and commercial teams to shape strategy Your Skills and Experience Strong experience in experimentation and causal inference Background in Economics, Statistics, or a related field Solid grounding in econometrics and A B testing Experience with counterfactual analysis or simulation methods Proficiency in Python ...

NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience ...

guide junior team members, fostering professional development and collaboration across regional finance teams. What we are looking for Bachelors degree in Economics, Finance, Statistics, Marketing, or a related field (Masters degree preferred) Multiple years of experience in corporate, advisory, or structured debt financing roles, ideally within data centers, digital infrastructure ...

Developed high availability distributed systems with tight latency constraints An understanding of computer networking, the related technologies, and their tradeoffs Practical knowledge of fundamental statistics and numerical recipes Experience writing software for the trading domain Strong verbal and written communication skills Strong internal motivation and a continual desire to learn ...

Launch Your Career in Data, Research & Market Intelligence Are you graduating (or have recently graduated) with a degree in Computer Science, Mathematics, Data Science, Statistics, Economics or a related analytical subject Do you enjoy working with data, spotting trends, solving problems and turning information into insights? We're looking … processes and workflows Learning how market intelligence products are built and delivered We're Looking For A degree in Computer Science, Mathematics, Data Science, Statistics, Economics or a similarly analytical discipline Strong numerical and analytical skills Excellent attention to detail Confidence using Excel An interest in data, research, business intelligence ...

Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability to clearly communicate … complex analytical concepts to a broad audience Strong problem-solving skills with a delivery-focused mindset Relevant academic qualifications in Data Science Statistics Mathematics Computer Science or a related quantitative discipline Desirable Skills for the Data Scientist: Experience with deep learning frameworks advanced modelling techniques Familiarity with MLOps concepts model ...

long-term AI and discovery strategy across Elsevier platforms. Requirements: Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP, or a related quantitative field. Significant experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI. Significant experience leading … balance strategic leadership with pragmatic execution in rapidly evolving AI environments. Preferred qualifications PhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or related field. Experience leading search, ranking, recommendation, or AI evaluation organizations at scale. Experience building evaluation systems for LLM-powered applications and AI assistants. Familiarity ...

both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports trading would be beneficial. This is an office-based role and as well as very competitive … environment. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science An interest in sports data/trading If you feel ...

Drive the development of scalable research tools, datasets, and modelling frameworks that increase team productivity. Skills & Experience Master’s or PhD in Machine Learning, Statistics, Mathematics, Computer Science, Engineering, Physics, or another quantitative discipline. 5+ years of experience developing systematic, intraday horizon trading strategies, predictive models, and alpha signals. Demonstrated … Strong practical experience applying machine learning techniques to prediction problems, with a clear understanding of overfitting risks and robust model validation. Deep understanding of statistics, experimental design, hypothesis testing, and research methodology. Strong programming skills in Python. Excellent communication and collaboration skills, with the ability to work effectively across research ...