Statistical programmer jobs in London

 ...the world of biostatistics? Join our client's cutting-edge team and dive into your next challenge. Hobson Prior is seeking a Statistical Programmer focusing on Data Anonymisation to support clinical trial data sharing and anonymization efforts. In this role, you will work... 

 ...Educated to BSc or above within Computer Science Mathematics or a Science related discipline. Minimum of 5 years experience in statistical programming clinical programming or similar field required. Ability to anticipate and effectively resolve potential problems with... 

 ...Summary The Early Development, Associate Director, Statistical Programming , is responsible for all statistical programming aspects...  ...Neuroscience is must. Coordinate activities of internal / external programmers. Make statistical programming decisions and propose strategies... 

 ...standards and regulatory requirements. Key responsibilities include reviewing and approving all biostatistics documentation and statistical programming outputs overseeing project budgets and timelines and ensuring overall quality and consistency across assigned accounts.... 

 ...Job description Hobson Prior is seeking a Principal Statistical Programmer to join a global team supporting oncology-focused projects. This role involves working on advanced clinical trials (Phase II-III) and contributing to the development of statistical programming outputs... 

 ...consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government...  ...Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning... 

 ...Experience working with Data Scientists and Data Engineers. Mathematics skills such as dealing with matrices probabilities and statistics. Additional Information : At Entain we know that signing top players requires a great starting package and plenty of support... 

 ...operations and stack. We will support you in shipping it. Yes you will actually ship it. Some recent projects include rebuilding our statistics aggregation service building new service discovery systems and many user facing projects like making it easy to understand error... 

 ...directly on the desk of two traders and growing support staff. The desk is focused on technology with automated trading algorithms and statistics at the forefront. You will learn how fixed-income ETFs are traded and the workings of being a market maker on serval exchanges. In... 

 ....g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics asset pricing theory optimisation algorithms Advantageous...  ...Through our external and internal initiatives partnerships and programmes youll find opportunities to grow develop your talents and help... 

 ...Key attributes of the suitable AI Engineer include: ~ Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and... 

 ...pricing and risk models for fixed income products. Use stochastic calculus, partial differential equations, Monte Carlo simulations, statistics, and numerical algorithms for quantitative analysis. Develop production-ready code using object-orientated programming.... 

 ...influential and crucial to the teams continuing success. Python Developers MUST have: Minimum MSc in Computer Science / Statistics with Top Academic Grades Strong Computer Science fundamentals Very strong Python coding and other functional languages Have... 

 ...PhD in computing or mathematics from a TOP 20 UK University strong database techniques knowledge of matlab or modelling and statistical packages self-motivation and willingness to work in an energetic, fast paced and team oriented development environment The... 

 ...languages/software as required Education Currently pursuing a BS or MS degree in related fields: Mathematics Engineering Physics Statistics Economics Earth or Climate Sciences Computer Sciences Data Sciences Software IT Risk Management Insurance Graduating between... 

 ...with cross-functional commercial and business teams, to understand business requirements and identify opportunities for deploying statistical models. Building production level Machine Learning models and be hands on in deployment. Evaluating and select appropriate... 

 ...Experience with a systems programming language (e.g. C Rust) a plus. Commercial use of cloud compute and containers a plus. Strong analytical skills and command of statistics a plus. Be in the office five days a week. Commitment to the highest ethical standards.... 

 ...to optimize pricing and forecasting models What you will have - Proficient in Python with a strong background in probability statistics and numerical methods - Experienced in derivatives pricing risk models or time series analysis - Familiar with energy markets (power... 

 ...Yield Curve modelling Options Valuations Use stochastic calculus, partial differential equations, Monte Carlo simulations, statistics, and numerical algorithms for quantitative analysis. Develop production-ready code using object-orientated programming. Skills... 

 ...Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis) Able to take high level requirements and lead with constructing the engineering concept to underpin that project Experienced... 

 ...languages) SQL Good Development skills Experience in financial services. Applicants should hold a BSc, MSc PhD or Masters in Statistics, Physics, Econometrics, Computer Science (Machine Learning, Computational Linguistics) Physics, from a top tier University First-... 

 ...of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub’s proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security and risk data... 

 ...Experience with data analysis and manipulation using libraries like NumPy, Pandas, or similar tools. Good knowledge of probability, statistics, and quantitative modeling techniques. Familiarity with cryptocurrency markets, blockchain technology, and trading concepts (e.g.... 

Java Engineer - Equity Volatility The successful candidate will join a global team that designs and develops Equities Volatility Risk and PnL and Market data systems. The candidate will work hands-on with other developers, QA and production support teams. The team interacts...

 ...development across structured and unstructured data. ~ Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) ~ Deep experience in personalization, search, or recommendation systems (3–4 years in a product-... 

 ...internal and external applications, data infrastructure and integration with 3rd party services/systems. • Utilise probability, statistics, numerical methods and mathematical optimizations to enhance the product offering and enable the creation of new RiskTech products.... 

 ...of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modeling, time-series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras... 

 ...SQL workbenches Tech stack: Java Python AngularJS Angular AI & Machine Learning : Collaborate on next-gen AI features from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the... 

 ...grade machine learning deployments on AWS Azure or GCP Graduate degree in a quantitative discipline (Computer Science Engineering Statistics Operations Research etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-... 

 ...like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS / Azure / GCP . Hands-on experience with...