24 of 24 Model Validation Jobs in the South East

Model Validation Quant Contract OUTSIDE IR35 Quant Capital is urgently looking for a Model Validation Quant to join our high profile client. Our client is a Tier 1 Investment Bank. This is a first-line quant role — embedded with the quant desk and directly shaping modelling … them after the fact. This isn’t just about implementing models. It’s about being the person who sees the cracks before they become validation blockers. We need someone who can: • Challenge model assumptions • Spot weaknesses in structure, calibration, or data • Write documentation that defends the model with clarity and depth You’ll work closely with FO quants, guide their submissions, and act as a bridge to model validation — pre-empting issues before they escalate. Responsibilities: • Review and guide FO quant model submissions with a critical eye • Develop, test, and refine models using More ❯

client a global commodities firm are seeking a highly skilled Quantitative Analyst to join their risk management team in London. This role focuses on model validation, quantitative analytics, risk methodologies and risk management. You will be responsible for developing, testing, and validating risk models while working closely with … in front office activities, covering derivatives pricing, complex options, structured trades, and the construction of volatility surfaces and forward curves. Challenge the robustness of model methodologies by critically analyzing underlying assumptions, input data quality, and performance outcomes to ensure they are aligned with business and regulatory expectations. Conduct regular … reviews of model documentation, ensuring it is comprehensive, clearly articulated, and aligned with both internal governance frameworks and external regulatory requirements. Collaborate with Risk and Middle Office teams to resolve valuation discrepancies, explain P&L attribution, and investigate any inconsistencies in reported risk or profit and loss figures. Support More ❯

IRB MODEL DEVELOPMENT CONSULTANT UP TO £90K LONDON This is a fantastic opportunity for an experienced professional to play a key role in the development and implementation of Internal Ratings-Based (IRB) credit risk models for banks and financial institutions. THE ROLE Develop and validate IRB models: Lead the … development and validation of PD, LGD, and EAD models in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory bodies … to deliver tailored solutions. Documentation: Prepare comprehensive model documentation, including technical reports, model validation findings, and compliance assessments. Consultancy support: Provide expert advice and insights to clients on regulatory trends and the strategic impact of model changes on capital requirements. REQUIREMENTS IRB model development experience More ❯

of forecasting models, including time series and machine learning, implementing “what-if” scenarios for capacity planning and demand variability. Core areas of responsibility; Forecasting model development Data management Model selection and validation Model deployment and maintenance Data Scientist Candidate Requirements: Post study experience as Data Scientist More ❯

and its application to risk management in banking You will have strong Wholesale IRB background (essential) with hands-on experience in IRB credit risk model development, and a strong understanding of IRB approval process and existing regulations are a must, along with familiarity with both local and relevant international … regulations within financial services e.g. PRA/ECB supervision Possess hands-on experience in Wholesale IRB credit risk model building and/or validation (i.e., beyond audit or review activities) - the interview process will involve a deep dive into the technical knowhow of modelling, validation techniques and … Spain, Middle East, Netherlands, South Africa, my client is a boutique firm with a demonstrable focus around Credit Risk Management, modelling, data analytics and model validation etc. Working with a range of innovative, ambitious, growing and forward-thinking Financial Services businesses, my client differentiates itself from the larger More ❯

the solutions that the team delivers -Present findings and recommendations to technical and non-technical audiences. -Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: -Mentor junior data scientists and provide peer reviews for modelling projects. -Stay current with industry trends, tools, and best practices More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

maintaining relational and non-relational databases to ensure data is optimised for modelling and analysis. Supporting data scientists with clean, structured datasets tailored for model training and validation. Overseeing data QA processes and metadata tracking for deployed machine learning models. Leading the creation and upkeep of data documentation, including More ❯

insights. Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement. Design and execute experiments to validate hypotheses and optimize model performance. Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations. Stay up-to-date with the latest industry trends More ❯

strong analytical mindset and prefer working behind the scenes with data Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director) Creating clear and … presentations Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with model validation, diagnostics, and performance metrics Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply! Alternatively, you can refer a friend or colleague More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to More ❯

Our client is a Tier 1 Investment Bank who urgently need a Senior Director Level, Equity validation/documentation/modelling quant contractor. 📍 Location: London 💰 Rate: £1,500 - £1,750 per day (Inside IR35) 📅 Contract: 6 months (extension likely into 2026) 📩 Urgent hire – Start ASAP! We're looking for … an Equity specialist - highly experienced with exotic equity derivatives models. Somebody who understands the model details, assumptions/limitations and how they are quantified- and who has developed alternative models or benchmarks. The context is that the Equity/Hybrids FO quants are pushing a raft of new models … towards the validation team. The contractor will join the Quant Analytics team who helps shape these new models and associated submissions. At the moment the volume of submissions is beyond the team’s capacity which is why they urgently need a Temp. This is front office role sitting in More ❯

Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to More ❯

epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine More ❯

level. Design of FPGA hardware (generally using the latest AMD FPGAs, including Versal). Development and debug of FPGA VHDL code. Design, testing and validation of high-speed serial interfaces such as PCIe, Aurora, JESD, and Ethernet. Design of interfaces and control blocks for HW components such as ADC More ❯

for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts. You will also be expected to develop strong relationships with clients and communicate Gain … gain technical skills and knowledge of our working practices and methodologies. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs More ❯

to support generative AI workflows and large language models (LLMs) in production. What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle … from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM) operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based … handling sensitive data. Evaluate and integrate MLOps tools (MLflow, Kubeflow, etc.) to enhance efficiency. Implement monitoring and alerting systems to detect anomalies and maintain model reliability. What We’re Looking For 3+ years of experience in software engineering, infrastructure, or MLOps roles. Proven expertise in building and maintaining ML More ❯

development of analysts through the Training Academy, Knowledge Shares and feedback. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs … providing rationale for variables entered, understanding coefficients and SFX. Taking base models, oversee or build in additional improvements and progress the model towards finalisation. Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary More ❯

traders, quantitative researchers, and other developers. Key Responsibilities Algorithm Development: Design, develop, and optimize trading algorithms for equities and futures markets using C++. Quantitative Model Implementation: Collaborate with quantitative researchers to translate mathematical models into robust, efficient, and scalable code. System Performance Optimization: Ensure high performance and low latency … through rigorous optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and More ❯

Senior Business Analyst – Front Office/Quantitative Development London Contract - inside IR35 £800-£900 per day We’re looking for a Senior Business Analyst with a strong technical background and experience working closely with quants in a front office environment. More ❯

tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics … volume analysis), including code templates, visualization standards, and deployment guidelines. Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling More ❯

projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client innovation Take ownership of … workstreams within larger projects, with opportunities to lead as you grow Work across the stack — from APIs and infrastructure to model tuning and validation Communicate clearly with both technical and non-technical audiences Bring curiosity, pace, and clarity to everything you do YOUR SKILLS AND EXPERIENCE Must-Have More ❯

MMM) to join our team. 🔍 About the Role You’ll take ownership of end-to-end modelling projects — from data ingestion through to modelling, validation, and producing client-ready outputs. While direct client interaction is limited in this role, your work will be at the core of delivering meaningful … technical rigour, and continuous improvement. ✅ What You’ll Be Doing Lead MMM modelling projects: from data prep, exploration, and variable selection through to final model delivery Build clear, insightful analysis decks for internal teams and client presentations Apply econometric techniques including regression modelling, adstock, saturation, lag structures, and more More ❯

THE DIGITAL SAFETY ASSURANCE TEAM The role of Technical Assurance Manager is part of the Digital Safety Assurance team led by the Head of Digital Safety Assurance. The Digital Safety Assurance Team is made up of Risk, Compliance and Technical More ❯