51 to 75 of 192 Statistics Jobs in London

models and SABR. Experience/knowledge of Risk Models such as Value-at-Risk (VaR) and Stress methodologies. Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »

both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just more »

programming skills. Working knowledge of Python and/or C++. Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field more »

of delivering results. Bachelor's, Master's or PhD degree from a top-tier university in a technical or quantitative field (eg: math, physics, statistics, computer science and engineering, etc. more »

weekly and ongoing Risk meetings and discussions. EDUCATION, SKILLS &EXPERIENCE REQUIRED: Degree level education, preferably in Business/Finance/Banking/Mathematics/Statistics/Engineering or with appropriate working experience. Proven experience in a specific commodity; Gas, Power, LNG, Emissions in a risk or front office role. Deep more »

Experience/knowledge of FRTB, IRRBB and Risk Models such as Value-at-Risk (VaR) and Stress methodologies.. • Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. • Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »

methodologies and processes. Come from a statistical/mathematical background and hold a Bachelor's degree or higher in a relevant field (e.g., Mathematics, Statistics, Computer Science). It would be great if you also: Previously worked in an actuarial team specifically engineering data solutions for pricing Have previously implementing more »

. 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 »

emerging machine learning methodologies. Educate the organization on Generative AI from both IT and business perspectives. Qualifications: A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field. Hands-on experience with LLMs fine-tuning and/or training. Hands-on more »

for deployment in the investment process Skills and Qualifications: Bachelor's, Master's, or PhD degree in a quant discipline such as Applied Mathematics, Statistics, Computer Science etc. 5 years of experience in a quantitative research role focusing on systematic equities Proficiency in C++ or Python Successful track record Sharpe more »

with the PMs. The successful candidate should possess: A minimum of a Bachelor’s Degree in Computer Science, Engineering, Economics, Finance, Math, Sciences or Statistics required. A minimum of 3+ years’ relevant experience. While experience at a leading buy-side firm is strongly preferred, outstanding candidates from investment banks are more »

Strategy Implementation Working directly with traders implementing algorithmic solutions providing direct feedback into strategy designs Qualifications : Ph.D. or Master's degree in Mathematics/Statistics/Economics/Business from a reputed institution. (Preferably Top 10 Global) Demonstrated experience of >3 years working within a hedge fund/Prop Shop more »

tools and models. Requirements: 2-3 years of experience as an economist, preferably in a top-tier financial institution or related field. Proficiency in statistics with the ability to apply statistical methods to diverse datasets. Strong coding skills and an interest in exploring new technologies. Collaborative mindset with an openness more »

Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or more »

a investment bank. Familiarity with financial markets, trading concepts, and transaction cost analysis. Strong experience working with Python or MATLAB. Proficiency in quantitative analysis, statistics, and data modeling. Experience working with large datasets and databases. Excellent opportunity with a high-performing trading team rewarding package on offer with high growth more »

3+ years of experience using C++ (14/17/20) and developing low latency code. Bachelor's degree in a Quantitative Field; maths, statistics, computer science, etc Experience with Distributed Computing, Platform Development, Networking, and System Design. Exceptional analytical and quantitative skills BENEFITS Competitive base salary between more »

Nordic languages, German, Spanish) Educational Requirements : - Bachelor's Degree/Master’s degree preferred in finance/accountancy/business administration/economics/statistics/mathematics/engineering or relevant fields from Top Universities If you're looking forward to work alongside senior management team members while playing instrumental more »

influencer marketing campaigns. Coordinate with internal teams to ensure campaigns are delivered on time and within budget. Deliver weekly and monthly reporting of campaign statistics Team Leadership: Lead and mentor a team of account managers and other client service professionals. Foster a collaborative and high-performance team environment. Provide development more »

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: DMPK, PKPD, modelling, protein, degradation, Lead, Director, VP, Manager, PK, ADME, Tox, in-vitro, in-vivo, IND, drug, discovery, biotech, pharma, R more »

and Resolve Trade Breaks raised by trading desks, other departments, and counterparties Owning and resolving specific inquiries and ensure timely resolution Reporting metrics and statistics that enable the team to make decisions and constantly improve the department Enabling and maintaining trading systems with up to date reference Market data, including more »

we offer programmatic access (via APIs) to deep collections of live and historical sports data including play-by-play, schedules, standings,game and season statistics, profiles/rosters, injuries/transactions, draft information and much more. The team isresponsible for Sports APIsacross the world,includingcore and deep sports data delivery more »

Identify and analyse gaps and recommendations to strengthen curated, high-quality learning offerings. Build, document, and execute standardized reporting processes used for key data, statistics, and analytics, for audit, Board, and HR reporting, including mandatory learning and training assignments, completion rates, conversion rates and course-level utilisation. Work in an more »

visited website pages, etc.). We may use web beacons to help display website content that is relevant to you and generate website traffic statistics to enhance our website. Embedded Content and Features How We Respond to “Do Not Track” Signals Managing Lead Counsel, ClarusONE Sourcing Services page is loaded more »

track. Manage print production and distribution worldwide. Budget management, supplier invoice approvals and recording processes through relevant systems. Measure the project’s effectiveness through statistics analysis (e.g., PDF downloads) and make recommendations for future improvements. External benchmarking. Essentials: Minimal 8 years of experience working as a project manager, ideally on more »

Server Database Engine Root cause analysis, database performance monitoring, and capacity planning SQL Server migration and upgrade SQL Server backup and recovery Indexes and Statistics SQL Server patch management PowerShell Scripting Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be more »