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About the Company Our client has an extensive and impressive track record of successfully running Quant trading strategies for over a decade, they spun out as a hedge fund and now operate globally. They are a highly interdisciplinary firm, operating around the intersection of trading, quant modelling and technology. Their trades are facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. About the Role Using the firms automated trading framework to research and apply strategies. Responsibilities • Using progressive statistical approaches to analyse data and ascertain opportunities for trading., • To build upon and develop strong understanding of market structures of the various exchanges and asset classes., • Pre market – checking that all required data and processes are ready., • During market – sporadically monitoring behaviour and performance of strategies. Qualifications • Quantitative background - including Master/ PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills • Programming proficiency with at least one major programming or scripting language (Python, C++, and R)., • Strong communication skills and ability to work well with colleagues across multiple regions., • Ability to perform well under pressure., • Detail orientated.

🚀 Are you a Graduate Data Scientist ready to kickstart your career in data? We’re looking for a curious and motivated Graduate Data Scientist to join our hybrid-working team in London. You’ll help us turn raw data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques to solve business problems 🛠 Assist in building and maintaining predictive models and analytical tools 🤝 Collaborate with data engineers, analysts, and business stakeholders to deliver impactful solutions 📝 Communicate findings clearly through reports, visualisations, and presentations What’s in it for you? 📈 Career Growth – Learn and develop your technical expertise with mentoring and training opportunities. ⚙ Hands-On Experience – Gain practical exposure to real-world data challenges and modern tools. 💡 Impactful Work – See your analysis contribute to decision-making and business strategy. 🤝 Supportive Team – Work alongside experienced data scientists and engineers who will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: • A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field, • Familiarity with Python, R, or another programming language for data analysis, • Basic knowledge of machine learning concepts and statistical methods, • Strong analytical and problem-solving skills, • Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: • Experience with SQL or databases, • Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn), • Understanding of cloud platforms (AWS, GCP, or Azure), • Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your skills — we’d love to hear from you. 👉 Apply now!

Our leading R&D client is looking for GUI QT Developer based at office at London (no remote or hybrid) A degree (MSc or PhD) in either Computing Science/ Geology /Maths, C or C++ programming and design; object oriented design; C++ standard library or Boost libraries.GUI development using Qt; Qt Cr

Capital Actuary | London Market | Competitive Salary Are you a technically minded actuary with a passion for building, improving, and running capital models? We are working with a number of leading London Market insurers /reinsurer who are looking to strengthen their capital teams with a Capital Actuary. This role is ideal for someone who enjoys hands-on model development and wants to be involved at the core of risk and capital decision-making. Key Responsibilities: • Developing, enhancing, and maintaining the internal capital model (e.g. Igloo, Tyche, or Remetrica) to meet business and regulatory requirements., • Delivering model outputs to support Solvency II and Lloyd’s submissions, • Playing a key role in model validation and documentation., • Partnering with risk, finance, and actuarial colleagues to embed the model into strategic decision-making. Skills & Experience: • Nearly/newly qualified actuary (FIA/FFA or equivalent), • Strong knowledge of capital modelling platforms (Igloo, Tyche, Remetrica) and a proven track record of model build and development., • Programming skills in Python, R, VBA, SQL, • Detail-oriented, analytical, and comfortable working with large data sets. If you are looking to hear more about these opportunities, please reach out. 📩 | 📞+44 (0) 7442577862

My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access to a wide range of publicly available data sources. They are seeking a researcher with a background in alpha research. Responsibilities • Conduct original quantitative alpha signal research, • Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code, • Evaluate new datasets for alpha potential, • Follow, digest, analyze and improve upon the latest academic research Desirable Candidates • 2+ years of research experience in Equities., • Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline., • Programming in any of the following: Python, C++, or R., • Demonstrated ability to learn and apply new methodologies to alpha generation., • Ability to work both independently and collaboratively within a team.

20Twenty Search is retained by an established ILS Asset Manager to identify an ILS Analyst to join their market leading team. This role will suit a candidate already in the ILS field, or a Catastrophe Modeller with strong reinsurance experience seeking to enter the this market for the first time. This role will focus on the analysis of a variety of Private ILS deals including Quota Share, Retro, Reinsurance and Fronted Reinsurance structures. The incumbent will also have the chance to mentor more junior members of the team thus providing the foundation for a management role in the future if this is an ambition of the individual. Our client will also place high-value on candidates with some programming experience in any combination of SQL / Python / R. This is a London based role and all applicants must have full rights to work in the UK. This role offers excellent basic salary and bonus.

Role Overview We’re seeking a highly motivated Lead Computational Biologist to partner with leading R&D teams in life sciences, applying advanced AI models to solve complex biological challenges. You’ll work at the interface of data science, biology, and product development — helping translate large-scale omics data into actionable insights for discovery and development. In this high-impact, fast-moving role, you’ll prototype with cutting-edge machine learning tools, rapidly moving from concept to insight. You’ll collaborate closely with engineering and product teams to shape and refine innovative solutions that address real-world biological problems. Key Responsibilities • Partner with scientific and technical teams to analyze complex biological datasets (e.g., transcriptomics, single-cell data), • Apply and adapt machine learning models to address problems in discovery and development, • Rapidly prototype and iterate on computational approaches to generate insights, • Communicate findings clearly across technical and non-technical audiences, • Contribute to shaping data products and internal tools Requirements Essential • MSc or PhD in Computational Biology, Bioinformatics, or a related field, • Strong Python programming skills, • Experience working with single cell data, • Familiarity with recent machine learning methods relevant to omics data, • Understanding of modern AI/ML techniques (e.g., model fine-tuning, representation learning), • Strong foundation in computational biology methods, • Ability to clearly articulate scientific findings to diverse stakeholders, • Customer- and product-focused mindset Preferred • Prior experience in industry (biotech, pharma, or related sectors), • Contributions to open-source bioinformatics or computational biology tools, • Exposure to advanced model architectures (e.g., Transformers, sequence models, probabilistic models), • Experience supporting discovery or development projects

Associate Director, Biostatistics (Oncology)- UK (Hybrid) Join a leading global healthcare organization committed to delivering innovative solutions where patient needs are highest. This organization pioneers scientific advancement in under-served and rare disease areas, focusing on life-threatening and life-limiting conditions. With a patient-centric approach, that collaborates closely with healthcare professionals, regulatory bodies, and payers to drive meaningful outcomes across the healthcare ecosystem. The Role As Associate Director, Biostatistics, you will play a key leadership role within cross-functional teams, supporting complex clinical and observational studies and driving statistical excellence across multiple therapeutic areas. You may act as: • Study Statistician, • Medical Affairs Statistician, • Exploratory Statistician, • Regional Statistical Lead, • Lead Product Statistician, • Global Statistical Lead for early or backup assets This role offers the opportunity to contribute to strategy, regulatory and payer submissions, and scientific publications, with a focus on innovation and high-quality deliverables. Key Responsibilities • Deliver best-in-class statistical support to drug development programs and individual studies., • Ensure consistency and quality across statistical deliverables., • Provide strategic input for study designs, biomarker and PK/PD analyses, and data interpretation., • Present results and insights clearly and effectively to stakeholders., • Collaborate in planning and conducting integrated analyses and regulatory submissions., • Contribute to due diligence efforts, methodology development, and internal training., • Participate in cross-functional process improvements and tool validation., • Mentor and support the development of statistical team members., • Represent the organization externally at industry events and with academic or regulatory bodies. About You You are a driven biostatistics professional with strong technical capabilities, clear communication skills, and a collaborative mindset. You are confident working independently on complex challenges and motivated by a mission to improve patient outcomes through data-driven insights. Essential Experience & Skills • Oncology experience essential, • Extensive experience applying statistical methods in biomedical research, pharma, CRO, academia, or healthcare., • Deep knowledge of statistical methodologies and clinical data analysis., • Proficiency in SAS; working knowledge of R is a plus., • Familiarity with data management and programming processes., • Experience in international and cross-functional environments., • Ability to articulate and apply complex statistical methods in real-world applications. Qualifications • PhD or Master’s degree in Biostatistics, Statistics, or a related field. What’s on Offer • Competitive compensation package, • Flexible hybrid working model- (Hybrid – minimum 1 day per quarter onsite), • Opportunity to work on innovative, patient-focused research, • Career growth within a supportive, science-led organization, • Inclusive and collaborative work culture If you're ready to contribute to cutting-edge healthcare innovation and help shape a patient-focused future, then please get in touch with Aimee at

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities • Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities., • Calibrate and validate models using a wide range of qualitative and quantitative data sources., • Contribute to building a robust and adaptable loss modelling framework., • Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For • Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils., • Proficiency with geospatial data (climate and Earth observation) and economic damage datasets., • Strong programming skills in Python, R, or a similar language., • Excellent communication skills, able to explain complex concepts to non-technical audiences., • A self-starter who thrives in a fast-paced R&D environment., • Experience in catastrophe modelling, especially around exposure and vulnerability., • Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory., • Knowledge of machine learning applications in climate risk., • Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does not offer sponsorship.

We are looking for Senior Statistical Programmers in the UK to join Veramed, where you'll deliver high-impact programming solutions in an FSP-style capacity, while advancing your career in a supportive, growth-driven environment. At Veramed, we focus on two key areas: providing exceptional statistical and programming consultancy, and fostering a workplace where our employees can thrive. We’re committed to helping you achieve your unique career goals through tailored development opportunities. Key Responsibilities: As a Senior Statistical Programmer at Veramed, you'll have varied responsibilities and the opportunity to shape your role. Daily tasks may include: Programming: • Program and QC datasets and TFLs following specifications and best practices., • Develop dataset specifications aligned with CDISC data standards., • Participate in internal and client study team meetings., • Mentor junior team members to enhance their development. Daily Interactions: • Communicate with study team members and client contacts., • Share updates internally and in client meetings., • Collaborate with the Veramed team to ensure timely, high-quality deliverables., • Provide mentoring and programming expertise as needed. Opportunities for Growth: • Lead programmer or technical expert roles., • Experience across various therapeutic areas and clinical phases., • Present at industry conferences., • Engage in peer mentoring and/or line management., • Develop innovative solutions for study reporting., • Contribute to B Corp initiatives supporting employees, the environment, and the community. What to Expect: • A warm, collaborative environment for both personal and professional growth., • Supportive management with an open-door policy to guide your development., • Exposure to diverse clients and projects, including collaborations with top pharma companies., • A unique, forward-thinking CRO that prioritizes staff well-being and innovative project management., • The opportunity to take ownership of your role and expand your skills. Beneficial Experience: • Knowledge of the clinical drug development process and relevant disease areas., • Awareness of industry standards and ICH guidelines., • Proficiency in SAS or other statistical software (e.g., R), based on your level of experience., • Strong understanding of CDISC data standards., • Excellent time-management and self-management skills for competing priorities., • Ability to work independently and as part of a collaborative team. If you're passionate about delivering high-quality deliverables, enjoy mentoring, and want to make a real impact at a company that values your contribution, this role is for you. We offer flexible working options (home or office), comprehensive training, and a competitive package. Apply now! As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.

About the Opportunity: We are seeking a Data Scientist with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: • Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses, • Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment, • Applying statistical and ML techniques to identify insights from millions of behavioural data points, • Working closely with product and business teams to translate findings into actionable outcomes, • Measuring and improving platform and product performance through experimentation and analytics What We’re Looking For: • 4+ years of experience in a Data Scientist or applied analytics role, • Proficiency in SQL and strong programming skills (Python, R, or similar), • Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis, • Ability to manage and deliver data projects independently as well as part of a team, • Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): • Familiarity with cloud platforms (Azure, AWS, or GCP), • Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity to shape projects in a high-impact, scaling business ⚡ Autonomy: Freedom to choose tools and approaches to solve problems 🤝 Culture: Collaborative, agile environment with minimal bureaucracy

Cutting-edge trading fund operating at the intersection of data science, finance, and technology. Strategies are fully automated and deployed across global markets, leveraging advanced statistical methods, machine learning, and high-frequency execution. As we continue to scale, we’re seeking a sharp, detail-oriented Investment Risk Analyst to strengthen our risk function and help us stay one step ahead in today’s complex markets. The Role As an Investment Risk Analyst, you’ll play a key role in monitoring, analyzing, and managing risk across our portfolio of systematic trading strategies. You’ll work closely with quants, portfolio managers, and developers to ensure that risk is not just a control—but a core input into our decision-making. What You’ll Do • Monitor real-time and end-of-day risk exposures across multiple asset classes and trading strategies, • Analyze and explain PnL drivers, drawdowns, and tail events, • Develop and maintain quantitative risk models (factor, VaR, scenario analysis, stress testing, etc.), • Collaborate with quants and PMs to review model assumptions, position sizing, and leverage constraints, • Design dashboards, alerts, and tools for proactive risk monitoring, • Work with engineering to improve data pipelines and risk infrastructure, • 2–5 years of experience in investment risk, preferably at a quant fund, prop trading firm, or hedge fund, • Strong quantitative background (degree in mathematics, physics, engineering, finance, or related field), • Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines), • Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus), • Familiarity with systematic or algorithmic trading strategies, • High attention to detail, curiosity, and the ability to challenge assumptions constructively

Hobson Prior is seeking an HTA Statistician to join a team dedicated to delivering impactful analytical solutions in clinical and real-world evidence settings. This role involves contributing to advanced statistical analyses and supporting health technology assessments (HTA) and late-stage clinical trials. If you have a passion for applying innovative statistical methods and working with data to inform healthcare decisions, this opportunity could be the perfect fit for you. Please note that to be considered for this role you must have the right to work in this location. Responsibilities: • Assist with health technology assessments (HTA) and late-stage clinical trial activities., • esign, analyze, execute, and report on clinical trials, HTA studies, and real-world evidence (RWE) projects., • Research and apply advanced statistical methods, including indirect treatment comparisons (ITC), network meta-analysis (NMA), Bayesian statistics, and other techniques., • Perform complex statistical analyses using tools like R and SAS. Key Skills and Requirements: • A postgraduate degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field., • Experience working in clinical trials, HTA, observational research, or real-world evidence studies., • Proficiency in programming and statistical analysis using R and/or SAS., • Familiarity with HTA principles and statistical methodologies is highly desirable. For more information, please contact Antony Serrecchia. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page. Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - .

Consultant – Marketing Effectiveness London - Flexible Working £40,000-£60,000 + Benefits MBN are exclusively supporting several roles for a leading MMM consultancy in the UK. We’re looking for an experienced analytics professional to join a high-performing team focused on helping brands make better decisions around where and how they invest their marketing budgets. If you enjoy working with data, finding patterns, building narratives from numbers, and influencing strategy, this role offers the chance to shape projects from end to end—while mentoring others and growing your own skills in a supportive, fast-moving environment. What You'll Be Doing • Designing and delivering advanced measurement models to assess how commercial and brand activities affect outcomes, • Translating technical findings into clear stories and recommendations for client stakeholders, • Running workstreams and ensuring outputs meet quality standards and timelines, • Coaching and supporting junior team members while continuing to deepen your own subject matter expertise, • Working hands-on with large datasets and contributing to wider innovation efforts within the team What We’re Looking For • 3–5 years of experience in applied analytics, ideally in a role involving commercial strategy or marketing performance, • Comfortable working with statistical tools and programming languages (e.g. R, SQL, EViews, Python), and presenting work using PowerPoint/Excel, • Familiarity with pricing, promotions, media, or campaign planning would be useful, especially if gained in a client-facing environment, • Clear communicator, confident in working directly with senior stakeholders, • Highly organised and able to manage multiple deadlines in parallel Why Join We’re part of a growing international group with strong momentum and a collaborative culture. You’ll find space to develop, a focus on wellbeing, and a team that values both excellence and balance. • Competitive salary + benefits, • Hybrid working model, • Ongoing training and development, • Wellbeing and flexibility initiatives

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities • Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities., • Calibrate and validate models using a wide range of qualitative and quantitative data sources., • Contribute to building a robust and adaptable loss modelling framework., • Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For • Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils., • Proficiency with geospatial data (climate and Earth observation) and economic damage datasets., • Strong programming skills in Python, R, or a similar language., • Excellent communication skills, able to explain complex concepts to non-technical audiences., • A self-starter who thrives in a fast-paced R&D environment., • Experience in catastrophe modelling, especially around exposure and vulnerability., • Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory., • Knowledge of machine learning applications in climate risk., • Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does not offer sponsorship.

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities • Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities., • Calibrate and validate models using a wide range of qualitative and quantitative data sources., • Contribute to building a robust and adaptable loss modelling framework., • Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For • Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils., • Proficiency with geospatial data (climate and Earth observation) and economic damage datasets., • Strong programming skills in Python, R, or a similar language., • Excellent communication skills, able to explain complex concepts to non-technical audiences., • A self-starter who thrives in a fast-paced R&D environment., • Experience in catastrophe modelling, especially around exposure and vulnerability., • Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory., • Knowledge of machine learning applications in climate risk., • Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does not offer sponsorship.

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: • Designing and building machine learning models to solve real-world problems, • Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment, • Applying statistical and AI techniques to generate actionable insights, • Contributing to experimental research, model prototyping, and A/B testing, • Presenting findings clearly to both technical and non-technical stakeholders, • Collaborating across data science, engineering, and product teams to build scalable solutions, • Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: • A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline, • Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome, • A solid understanding of core machine learning concepts, data wrangling, and model evaluation, • Proficiency with SQL and experience handling large datasets, • A passion for solving complex problems using data and a continuous learning mindset, • Excellent communication and collaboration skills, • Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): • Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch), • Exposure to cloud platforms (AWS, GCP, or Azure), • Experience with experimental design, research methods, or academic publishing, • Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus: £40,000 – £45,000 plus bonus 🏡 Hybrid Working: A flexible mix of office and remote work 📈 Career Growth: Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack: Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture: Be part of a supportive and innovative team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date CV and we will be in touch ASAP to arrange an initial call.

Join a well known Investment Bank in their Research and Development (R&D) team based in Paris. They're looking for two additional headcount for VP level within their Rates Exotics and Forex Derivatives front office team. You will develop and maintain pricing and risk management models for complex interest rate and currency derivatives, supporting trading desks across fixed income and FX markets. This role offers the opportunity to deepen expertise in programming, financial mathematics, and quantitative finance , delivering innovative, high-quality solutions in a collaborative environment. Key Responsibilities: Model Design & Development • Gather and formalize requirements from traders and financial engineers related to valuation, hedging, and risk monitoring, • Design, develop, & test models using object-oriented programming (C# or C++ ) Model Implementation • Integrate calculation libraries into the production environment following internal and regulatory standards Model Usage & Support • Provide daily support to trading teams on modeling, risk analysis, and hedging strategies Ongoing Model Monitoring • Monitor model performance over time and contribute to validation efforts Requirements: • Advanced degree (Master’s or equivalent) in Finance, Financial Engineering, Mathematics, or related field, • Significant experience (8–10+ years) in derivative product pricing and modeling , ideally in front-office quantitative teams., • Strong programming skills: proficiency in either C# or C++ is required , with Python considered a bonus., • Solid understanding of Rates Exotics and/or Forex Derivatives , with exposure to other fixed income products or stocks/indices., • Strong analytical skills, ability to manage multiple projects simultaneously, and thrive in a fast-paced, demanding environment ., • Proficiency in French and English, both technical and everyday., • RTW in Europe/Paris. (no visa sponsorship unfortunately) Why Join: • Work in a collaborative environment with exposure to trading, risk, finance, and IT teams, • Opportunities for career growth and international mobility, • Competitive package including salary, bonus, and profit-sharing, • Flexible working arrangements and comprehensive benefits, • Successful candidates applying from the UK will be flown to Paris for final interviews / meet the team. I'd love to speak to you if you are interested and meet the above requirements. If you prefer roles in London please do still get in touch but mention the location and we can chat about other opportunities. Please send CV's to

MARKET RESEARCH ANALYST MARKET RESEARCH UP TO £40,000-45,000 + BENEFITS LONDON (HYBRID) We’re working with a full-service market research company specializing in brand strategy, experience and communications. They utilise a range of qualitative and quantitative research methods alongside cutting-edge data analytics. Their client base is made up of famous brands across a wide range of sectors including FMCG, financial, automotive, leisure and healthcare. THE ROLE: The Market Research Analyst will have the following responsibilities: • Working under the supervision of more senior members of the data science team to design market research projects with an analytic component (e.g. driver analysis, segmentation, conjoint), • Performing cleaning and analysis of survey data according to project need – from simple tables to more complex explorations, • Demonstrating a willingness to work co-operatively with others for the overall benefit of the company, • Communicating with clients and colleagues in a confident and articulate manner YOUR SKILLS AND EXPERIENCE: The ideal Market Research Analyst: • Good grasp of the R programming language, • Knowledge of other statistical packages and languages such as SPSS would be an advantage, • Working knowledge of analytical techniques within primary research, such as: Regression techniques (including, linear, Segmentation, MaxDiff/Conjoint), • Excellent attention to detail and a methodical approach to working through code and coding strategies THE BENEFITS: • A salary up to £45k, • Pension scheme, • Hybrid working Please register your interest by sending your CV to Louis Collins via the apply link on this page

Are you experienced in Biostatistics and looking for an exciting new challenge where you can assist in increasing biostatistics capabilities? Proclinical is seeking a Lead HTA Statistician to lead the design and execution of statistical analyses, including meta-analyses, feasibility assessments, and indirect treatment comparisons (ITCs). You will collaborate closely with cross-functional teams, provide strategic advice on methodologies, and contribute to business development by promoting biostatistical services to clients. This role also involves mentoring and training team members while ensuring high-quality project delivery. This position requires a blend of technical expertise, project management skills, and the ability to communicate complex statistical concepts effectively to diverse audiences. Responsibilities: • Design and lead statistical analyses, including meta-analyses and ITCs., • Conduct feasibility assessments and ensure adherence to regulatory and HTA guidelines., • Collaborate with cross-functional teams to support systematic literature reviews and related communications., • Provide strategic advice on statistical methodologies and best practices., • Build and maintain strong client relationships, contributing to business development efforts., • Oversee and review statistical analyses to ensure quality and integrity., • Mentor, train, and motivate a growing team of biostatisticians., • Manage projects effectively, adapting to changing priorities and meeting tight deadlines., • Communicate statistical findings clearly to both technical and non-technical audiences. Key Skills and Requirements: • Advanced degree (PhD or MSc) in statistics, biostatistics, or a related field., • Expertise in statistical methods for HEOR, HTA, and market access, including meta-analyses and ITCs., • Proficiency in statistical software such as SAS, R, or R-Studio, with programming and data management experience., • Proven track record of designing, performing, and overseeing statistical analyses., • Experience in publishing results, including writing abstracts and manuscripts., • Strong project management skills and the ability to adapt to shifting priorities., • Excellent communication skills to convey complex statistical information effectively. If you are having difficulty in applying or if you have any questions, please contact Tom Magenis at . If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - .

Following the recent appointment of a standout Operations Director, our client is one of London's fastest growing M&E contractors and is seeking to hire a Senior M&E Project manager to join their growing and vibrant team in the city. They are a well-established company who have showed pure excellence and growth over the years, from only doing small renovations to now multi million pound projects. The business has gone from 20 million to 50 million in turnover in just two years and they have a full order book for this and next year. They predominantly work across the shell and core, fit out projects in the commercial, R&D and Education sectors. They boast excellent staff retention, a clear progression route and some of the best incentive schemes around. The successful candidate will be responsible for leading the M&E Package on a £12m M&E project consisting of laboratories, lecture theatres and teaching facilities. You will have a team of engineers and construction managers to assist with preconstruction and delivery. Duties will include: • Tender review and validation, • Design Review liaising with consultants, client and main contractor, • Procurement of major plant and subcontractors, • Programming of works using MS Project / Asta, • Oversee all trade contractors, • Leading the project from a commercial aspect and overseeing profitability., • Chairing meetings internally and externally, • Management of commissioning stages and project handover to the client The candidate will have experience working within the Labs, Healthcare or Office Sector, experience in a project management role, longevity in previous employment and managing large M&E projects with the ability to deliver contracts on time and to the client’s satisfaction. HNC or a degree qualification is desired but not essential.

Project Lead – Marketing Mix Modelling (MMM) Location: London (Hybrid – 2 days in office) Type: Permanent Sector: Global Marketing Consultancy Join a world-leading marketing consultancy that blends creative transformation with data science to drive measurable results for some of the most recognised brands globally. We’ve been exclusively instructed on this Project Lead (Modelling) opportunity within their high-impact Data Science & Modelling team – the engine behind millions in media spend analysis and marketing effectiveness. Why This Role? • Be at the cutting edge of marketing analytics, working on advanced MMM and econometric projects that influence brand strategy., • Join a tight-knit, high-performing team of 80+ analysts who collaborate across 30+ UK and global clients., • Work in a culture of experimentation and learning, with every project offering a chance to challenge the status quo. As a Project Lead, you’ll oversee the end-to-end delivery of econometric modelling projects, mentor junior team members, and collaborate with internal stakeholders to ensure outputs are actionable, intuitive, and statistically sound. You’ll partner with strategy and planning teams to decode business challenges, design custom modelling solutions (primarily MMM), and present insights that drive real-world marketing performance. What You’ll Do • Lead the delivery of advanced modelling projects (MMM, forecasting, brand equity analysis, etc.)., • Ensure statistical robustness, model integrity, and timely delivery., • Translate complex outputs into clear, commercial recommendations for senior marketing stakeholders., • Coach and support junior analysts, ensuring knowledge sharing and skill development., • Uphold modelling best practices and contribute to internal process improvement., • Support new business efforts through analytical thinking and data storytelling. About You • Solid, hands-on experience in Marketing Mix Modelling (MMM) and time series econometrics, preferably within the marketing/media industry., • A degree in a quantitative field such as Economics, Statistics, Mathematics, or Data Science., • Strong technical skills in R (or similar programming language), Excel, and PowerPoint., • Experience managing client projects and leading teams of analysts or econometricians., • Commercial acumen and the ability to align modelling outputs with marketing strategy., • Familiarity with large, complex datasets and translating data into business value. What’s in it for you? • A collaborative, growth-driven environment with global resources and local agility., • Exposure to high-profile clients and £600M+ in media spend across sectors., • A flexible hybrid model (4 days in-office), offering the best of both worlds., • A generous benefits package including health, retirement plans, time off, and more., • Access to one of the most respected data science and analytics teams in the media world. Please apply!

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities • Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets., • Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles., • Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team., • Perform data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support continuous model improvement., • Write clean, efficient, well-documented code aligned with team standards for structure, reproducibility, and version control., • Work collaboratively with other Data Scientists to propose ideas, troubleshoot modelling challenges, and refine methodologies., • Contribute to the delivery of accurate, reliable forecasts with low latency under evolving client or market demands., • Participate in code reviews and collaborative design sessions to uphold technical quality across the team., • Provide mentorship and support to Junior Data Scientists working on the same or related projects. Experience and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: • Experience working with Python or R in a production or research setting., • Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr)., • Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow., • Experience working with SQL and relational databases., • Ability to explain model behaviour through visualisations and reports., • Familiarity with Git and collaborative development workflows., • Good written and verbal communication; able to contribute to cross-functional discussions., • Proven problem-solving and time management skills. Desirable: • Familiarity with cloud services (e.g. AWS S3, Athena, Lambda)., • Basic understanding of data engineering or ML pipelines., • Knowledge of distributed systems (e.g. Kafka)., • Interest in American sports or the betting industry., • Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment Limited, on LinkedIn to stay updated on current and upcoming job vacancies

Selby Jennings have partnered with a leading UK personal lines insurer, currently seeking to appoint a Senior Market Pricing Analyst to join its high-performing pricing function. This role offers the opportunity to shape pricing strategy, enhance market competitiveness, and deliver commercial impact. You'll work closely with actuarial, underwriting, and data science teams to embed predictive modelling and support strategic pricing decisions. About the role: • Build and validate predictive models using GLMs, GBMs, GAMs and other advanced techniques, • Lead price optimisation projects and support deployment into live environments, • Maintain behavioural models and monitor market performance across key segments, • Coach and develop junior analysts, fostering technical growth and commercial awareness, • Present pricing recommendations and insights to senior stakeholders, • Explore new data sources and modelling approaches to improve pricing accuracy, • Manage projects across the full pricing control cycle, • Support senior colleagues and deputise when required Role Requirements: • 3+ years' experience in insurance pricing or analytic roles within personal lines, • Strong programming skills in SAS, Python, R or similar, • Experience with price optimisation and machine learning techniques, • Ability to communicate complex analytic insights to non-technical audiences, • Degree in mathematics, statistics, actuarial science, or related field, • Professional qualifications (Actuarial, CFA, Data Science) are advantageous, • Commercially minded, proactive, and confident in stakeholder engagement Benefits: • Hybrid working policy (office + remote flexibility), • 35+ days annual leave (with buy/sell options), • Private medical and dental insurance, • Group Life Assurance and enhanced pension scheme, • Well being initiatives and mental health support, • Family-friendly policies including enhanced parental leave, • Tech discounts, cycle-to-work scheme, and annual team reward events This is an exciting opportunity to join a forward-thinking insurer in a strategic pricing role, with the chance to influence market outcomes and contribute meaningfully to business performance.

Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies. We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of around 4,000 professionals. We operate through 50 offices (22 in Europe, 23 in the Americas, 3 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you • Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields., • Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance or similar., • Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.)., • Solid academic record., • Strong computer skills., • Knowledge of other languages is desirable., • Get-up-and-go attitude, maturity, responsibility and strong work ethic., • Strong ability to learn quickly., • Able to integrate easily into multidisciplinary teams. What we offer We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: • Working in the highest-profile consulting projects in the industry, • for the largest companies, leaders of their respective markets,, • alongside top industry management as they face challenges at the national and global level,, • as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. Training • Ongoing training plan, with approximately 10% of business turnover spent on training., • Specialist knowledge courses, external expert courses, professional skills courses and language courses., • Last year our staff as a whole received over 330,000 hours of training spanning more than 150 courses. Career plan • Clearly defined career plan., • Internal promotion based solely on merit., • Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners. Complementary activities • University : we maintain a close relationship with the world’s most prestigious universities., • Social Action: we organize more than 30 community support activities., • Sports Club: internal and external tournaments.

Provide supervision on tasks carried out by statistical programmers* Good R language programming skills* Very good knowledge of principles and techniques for clinical research* Good English communication* Good knowledge of MS Office SuiteBSc/MSc or equivalent with experience, preferably in Statistic

Data wrangling, extraction, and pre-processing in SQL or Python. Strong programming skills in R and/or Python.

We are looking for a passionate, data-driven Sales Development Manager to help accelerate pipeline generation and drive new business growth. Implement and execute professional development programming to enable team members to succeed as Sales Development Representatives and prepare them for future r

Develop programming skills in R, Python, SAS or similar tools. Programming, Statistics & Data Science (Multiple Roles) Industrial Placement, UK 2026 – GSK. Join to apply for the Programming, Statistics & Data Science (Multiple Roles) Industrial Placement, UK 2026 role at GSK.

CNC Setter / Operator (Training on Programming)£28,000 - £38,000 + Overtime + Training + Progression + Early Finish on a Friday + Company Bonus + Company BenefitsYeovilAre you a CNC Setter / Operator or similar looking for a local, days-based role within a stable, long-established company offering

Manager, Marketing Analytics page is loaded.Apply remote type Hybrid locations London, Chiswick Park Building 2 time type Full time posted on Posted Yesterday job requisition id R000096067.Discovery… the stuff dreams are made of.When we say, “the stuff dreams are made of,” we’re not just ref

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Participate in programming activities for clinical trial reporting using SAS and/or R programming languages, whilst adhering to data standards and regulatory requirements. Clinical Programming collaborate closely with cross-functional teams such as Statistics, Data Management and Clinical teams to e

CNC Setter / Operator (Excellent Progression & Programming Training)£25,000 - £32,500 + Career Progression + Programming Training + Premium Overtime + Days + 33 Days Holiday + Flexi-TimeFactory based, commutable from Crewkerne, Yeovil, Chard, Taunton, Langport, Dorchester and surrounding areas.

Experiences, Programming & Partnerships Manager. Experiences, Programming & Partnerships Manager. Event Programming & Content Coordination.

CNC Miller (Programming) £35,000 - £40,000 + Overtime (OTE £56,000) + Excellent Overtime Rates (up to 2x) + Half Day Friday + Days based Motherwell Are you a CNC miller with programming experience using Siemens, Fanuc, Mazatrol or Heidenhain controls looking for a stable role with a well-establi

Were looking to hire an experienced Software Engineer with a background working on programming languages to join us. Research experience and publications in programming languages is a plus, but not a requirement. No previous experience with OCaml or functional programming languages is required.

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Validate programming output (e. Drive the continuous improvement and development of internal statistical programming practices, guidelines, and SOPs. Proficiency inSAS and R programming with a minimum of 5 years of experience with both software.

DK Recruitment are working with a world-renowned, precision Engineering business based in Plymouth who are expanding their Engineering team.The business has a strong culture of innovation, professional growth and are offering an exciting career journey.The position of Production Toolmaker/PROGRAMMER

Monitoring real-time analytics to guide programming decisions and adjust content placement dynamically, and Identifying patterns in audience behaviour across platforms and use insights to inform both daily and long-term programming strategy. Serve as the primary liaison between the programming team

Senior AV Engineer (Programming and Commissioning) – London – £35,000 - £45,000 + Progression + Training + £400/month on-call bonus (1× per month rota) + paid overtime + travel expenses + company laptop & phone + training.

Executive Director, TV Programming, Video Production and Distribution. Get notified about new Director Of Programming jobs in. Director Of Programming Jobs in United States.

Sap Advanced Business Application Programming Consultant. Design and implement ABAP solutions with a strong focus on Object-Oriented Programming (OOP). Get notified about new Sap Advanced Business Application Programming Consultant jobs in.

Senior AV Engineer (Programming and Commissioning) – London.

Monitoring real-time analytics to guide programming decisions and adjust content placement dynamically, and Identifying patterns in audience behaviour across platforms and use insights to inform both daily and long-term programming strategy. Monitoring real-time analytics to guide programming decisi

Senior Audio Visual Engineer (Lutron / Control 4) — London.Training + £400/month on-call bonus (1× per month rota) + paid overtime + travel expenses + company laptop & phone + training.This Senior AV Engineer role offers clear path to leadership within a modern SME looking for Engineers ready to

Senior Programming Planning & Strategy Manager. MUBI is seeking a Senior Programming Manager to join our team in London and help expand our Planning & Strategy capabilities. In close collaboration with our central and regional Programming teams, you will play a key role in delivering data-driven ins