Mathematics jobs in Reino Unido - Page 2

Value & Trait Profile • Conscientiousness, • Continuous Learning / Curiosity, • Critical Thinking, • Adaptability / Resilience, • Communication / Teamwork We seek individuals who are: • Scientific and analytical., • Objectivity‑driven, mathematically precise and committed to evidence‑based reasoning., • Comfortable challenging conventional industry assumptions., • Capable of integrating quantitative modelling into day‑to‑day QS responsibilities., • Detail‑oriented, principled and motivated by accuracy, efficiency and measurable outcomes., • Curious, methodical and motivated to redefine commercial development practice using scientific thinking. Role Overview We are seeking a non‑traditional, highly analytical professional to support the Commercial Department with a uniquely scientific approach to real estate development quantity surveying. This is a bespoke hybrid position designed for candidates with strong mathematical, quantitative, or QS backgrounds who can apply objective, data‑driven and evidence‑based principles across the full commercial and cost‑management lifecycle of development projects. This is not a conventional Quantity Surveyor role. This position blends advanced numerical modelling, scientific reasoning, operational cost diagnostics and commercial governance with core QS functions, producing a more rigorous, objective and accuracy‑driven alternative to traditional market practice. Candidates must be capable of translating complex project data, uncertainty ranges, risk distributions, material‑cost behaviors and productivity metrics into structured commercial outputs that elevate cost certainty, minimize exposure and strengthen development performance. Key Responsibilities • Lead cost planning, cost modelling and cost verification using quantitative methods, statistical ranges, and scenario‑based modelling rather than standard heuristics., • Prepare and interrogate bills of quantities using analytical breakdowns, parametric modelling, and evidence‑based cost‑behaviour principles., • Establish scientifically derived cost baselines that account for labour productivity variables, material‑price volatility, supply‑chain risk, and construction‑stage uncertainty., • Produce measurement outputs with exceptional numerical precision, ensuring that commercial conclusions are grounded in data integrity, objectivity and mathematical consistency., • Develop quantitative frameworks for evaluating cost drift, identifying inefficiencies, and forecasting cost‑to‑completion using probabilistic outcomes rather than subjective judgement. Cost Control, Commercial Oversight & Development Governance • Oversee cost control processes with scientific discipline, applying variance analysis, risk‑weighted cost monitoring and performance‑based auditing., • Conduct forensic analysis of cost deviations to isolate root‑causes such as productivity inefficiencies, procurement failures, design‑development drift or commercial leakage., • Prepare and defend cost assessments, compensation events, loss‑and‑expense claims and contractual adjustments using clear, quantifiable evidence., • Ensure that commercial governance is transparent, traceable and analytically justified throughout the development timeline. Procurement, Contract Administration & Supply Chain Analytics • Support procurement strategies through detailed evaluation of contractor pricing behaviour, supply‑chain cost patterns, labour‑market conditions and risk‑adjusted tender assessments., • Apply numeric verification methods to contractor submissions, valuations, variation claims and change‑control requests., • Monitor supply‑chain financial health and performance using structured metrics and performance‑modelling techniques to anticipate risks and safeguard project outcomes. Performance Modelling & Operational Efficiency Analysis • Develop models to evaluate construction sequencing efficiency, labour utilization, productivity benchmarks and value‑for‑money outcomes., • Develop models to manage the deployment of capital expenditure., • Identify underperforming elements in developments by using quantitative diagnostics, comparative baselines, and operational datasets external to traditional QS practice., • Introduce non‑traditional, scientific methodologies for appraising development efficiency, replacing “rule‑of‑thumb” approaches with measurable, evidence‑driven frameworks. Governance, Compliance & Commercial Dispute Resolution • Conduct internal commercial audits to strengthen cost transparency and contract compliance., • Support resolution of disputes, commercial irregularities and financial misconduct matters using forensic quantitative evidence and objective analysis., • Collaborate with legal, finance and senior commercial stakeholders to build risk‑minimization frameworks grounded in analytical clarity and measurable standards. Practice, Professionalism & Continuous Improvement • Uphold strict objectivity, precision and scientific integrity across all commercial outputs., • Continuously refine methodologies and practices, seeking to replace subjective industry norms with structured, evidence‑based approaches., • Promote a culture of accuracy, accountability and analytical discipline across commercial and development teams., • Degree in Quantity Surveying, Mathematics, Engineering, Data Science, Physics, Economics or a related analytical discipline., • Strong capability in numerical reasoning, measurement accuracy, and analytical cost modelling., • Experience applying structured methodologies to complex or sensitive development/commercial challenges., • High proficiency in spreadsheets, modelling tools and digital measurement platforms., • Ability to translate complex data into clear, objective commercial recommendations., • Strong communication and collaboration skills across multidisciplinary teams., • Experience within development‑oriented QS roles, commercial analysis or cost‑forensics., • Familiarity with probabilistic modelling, productivity analytics or data‑driven construction forecasting.

We are seeking a highly skilled and motivated Quantitative Strategist to join our front-office team. This role is central to building, maintaining, and enhancing models and applications that drive trading, risk management, and portfolio construction across the firm’s global Rates business. You will work directly with portfolio managers, traders, and risk managers to deliver innovative quantitative solutions in a fast-paced, high-impact environment. Responsibilities • Develop and enhance pricing, risk, and relative value models for rates products, including government bonds, swaps, futures, swaptions, and inflation-linked products., • Build scalable risk platforms and analytics libraries to support intraday and end-of-day trading and risk management., • Collaborate with portfolio managers and traders to design and implement quantitative trading strategies and risk views., • Partner with technology teams to integrate models into production systems, ensuring robust, low-latency, and scalable implementations., • Conduct research and prototyping for curve construction, scenario analysis, VaR, PCA decomposition, and other advanced risk metrics., • Leverage Python, C++, and/or Java for model development, prototyping, and data analysis; use SQL and kdb+/q for large-scale market and trade data handling., • Develop dashboards and visualization tools for portfolio and risk monitoring, ensuring transparency of exposures and P&L attribution., • Advanced degree (Master’s/PhD) in Quantitative Finance, Mathematics, Computer Science, Physics, Engineering, or a related discipline., • Experience as a Quant, Strat, or Risk Developer in Rates at a top hedge fund, bank, or trading firm., • Deep understanding of fixed income and derivatives products, including yield curve modeling, risk factors, and pricing frameworks., • Strong programming skills in Python and at least one other language (C++ or Java)., • Experience with large-scale data platforms (SQL, kdb+/q, or similar)., • Ability to communicate complex quantitative concepts clearly to both technical and non-technical stakeholders., • Familiarity with market data sources (Bloomberg, Refinitiv, etc.) and data APIs., • Experience in building risk platforms or contributing to cross-asset risk infrastructure., • Prior exposure to machine learning methods applied to fixed income or macro trading strategies.

Think "Ace Ventura" Meets Outstanding Education Are you an experienced A level Teacher of....... see below Full-time & Part-time | Experienced Teachers & Recent Graduates Welcome Too Good To Be True? Read On... I'm recruiting for an OUTSTANDING sixth form in London that operates like no school you've ever experienced. Picture this: plush surroundings, classes of max 10 students, zero paperwork, no lesson plans, minimal observations, no playground duties, no uniforms, students call you by your first name. Sound like fantasy? It's real. And I'd go back to teaching myself if I could get in. What Makes This School Different? The Students: • 100% university-focused and MOTIVATED, • They WANT to be there, • Everyone treated like adults, • Smart casual dress code (no stuffy uniforms), • First-name basis with students, • Sit around tables, have real conversations, • Class sizes MAX 10 (more teachers = smaller classes), • NO lesson plans required, • NO excessive observations (unless YOU ask for feedback), • NO break/lunch/patrol duties, • NO death-by-PowerPoint expected, • 1-to-1 sessions when needed, • Revision sessions, • Extension lessons or clubs to enrich students, • Actually caring about each student and what makes them tick The "Ace Ventura" Factor We want unorthodox, passionate educators who: • Sit WITH students, not above them, • Want to know what makes each person tick, • Create open discussion and genuine engagement, • Care about students AND outcomes, • Don't hide behind endless slides, • Bring personality and passion to the classroom As a former "maverick" Head of Science with 20 years' experience, I GET IT. This is teaching as it should be. Everyone wins. The Deal and these are just some of the benefits - wait till you hear about the rest !! ✅ NO QTS REQUIRED - just passion for your subject ✅ Generous salary + fantastic benefits ✅ PAID for extras (parents' evenings, open evenings, etc.) ✅ Focus on teaching, not admin ✅ September 2026 start (full-time permanent) ✅ Part-time roles available for experienced teachers or PhD students (approx 6 hours/week) Who We're Looking For Priority Subjects: • Mathematics (Physics desirable), • Economics, • Psychology, • Computer Science, • Physics, • Other subjects (opportunities throughout the year) Who Should Apply: • Experienced teachers tired of bureaucracy, • Recent graduates passionate about teaching, • Masters/PhD holders in relevant subjects, • Part-time candidates (experienced or completing PhDs) Your Mission Simple: help motivated A-Level students maximize their potential and get into university. Their job: learn. Your job: teach. No nonsense. No red tape. Just education. Ready? Send me your updated CV highlighting: • Your subject expertise, • Your teaching experience (if any), • University Degree/s, • Your interests and passions, • Why this role excites you

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description Cint is looking for a strategic Director of Business Intelligence to lead the next phase of its data evolution. This leader will be responsible for empowering Cint’s global organization with the tools and real-time insights that drive platform performance, commercial strategy and operational efficiency. Our vision is to move beyond reporting into a world of intelligent automation, AI-driven insights, and strategic value creation. You will lead the transition to a scalable, self-service ecosystem that empowers every department to make impactful, real-time decisions. Responsibilities * Define and execute the BI strategy, shifting the organization from reactive reporting to a proactive, "intelligence-first" mindset that drives faster and better business decisions. * Partner with senior stakeholders across Finance, Sales, Customer Experience, Trust & Safely, Marketing and Product to align the BI roadmap with global goals. * Define and operationalize enterprise KPIs and executive-level dashboards to ensure consistent measurement of business performance and accountability. * Oversee the evolution of our modern cloud data stack, ensuring it is optimized for high-performance querying, cost-efficiency, scalability and reliability. * Unify enterprise data models across the organization to eliminate fragmented silos and ensure a single, governed, and trusted "Source of Truth." * Maintain ownership of data cataloging, quality, and governance standards while ensuring BI platforms and data assets comply with security, privacy, and regulatory requirements across regions. * Establish rigorous data quality, observability, and reliability standards to build sustained trust in analytics and reporting. * Own vendor relationships and the BI budget, focusing on Total Cost of Ownership and Databricks compute efficiency. * Oversee and ensure timely delivery of month-end data while implementing automation to streamline processes and improve long-term efficiency. * Champion the use of AI and advanced analytics to automate insights, enhance forecasting, and surface proactive recommendations for the business. * Lead the transition to modern BI tools, empowering teams to explore data independently while maintaining governance. * Lead organizational change management and data literacy initiatives to drive adoption of self-service BI and analytics across the business. * Lead and mentor a global team of engineer and analyst professionals, transitioning the function from manual data processing to high-value strategic innovation. Qualifications Qualifications Required: * Skilled at leading distributed, high-performing teams through organizational change, platform migrations, and tool modernizations, while fostering a culture of collaboration, data literacy, and innovation. * Proven track record of leading global BI functions within technology companies. * Deep understanding of modern data stacks, specifically Databricks. * Experience leading teams through organizational change, platform migrations, and tool deprecations. * Exceptional ability to translate complex data infrastructure concepts into clear business value for non-technical senior leadership. * Experience managing remote/distributed teams across multiple time zones. * Degree in a quantitative field (Mathematics, CS, Data Science) or equivalent professional experience. Essential Qualities: * You don't just build reports; you build systems that scale and solve long-term business problems. * You can balance the competing needs of different departments while maintaining a unified data standard. * You are comfortable leading through ambiguity and can pivot strategies as business priorities evolve. Nice to Have: * Strategic oversight or hands-on experience in implementing AI-driven automation and predictive analytics within a BI function. * Experience managing distributed teams across multiple time zones and cultures. * Familiarity with the digital insights, market research, or programmatic space. Additional Information Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. () Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.

About the Company Our hedge fund client is looking for an operations specialist, responsible for daily clearing, settlement, financing and reconciliation activities across products and accounts, ensuring accurate trade capture, timely issue resolution, and strong operational controls in a dynamic trading environment. About the Role Principal Responsibilities Provide day-to-day operational support, including same-day trade matching, allocation checks, and timely resolution of PM, broker, and counterparty queries. Responsibilities • Perform daily trade, cash, position, and market value reconciliations across products and accounts; investigate and resolve breaks on a T+0 / T+1 basis., • Monitor intraday trading activity to ensure accurate and timely trade capture, working closely with PMs, supporting teams, and Technology., • Manage settlement, financing, and collateral-related processes, including handling queries on high-value or time-sensitive transactions., • Interact with prime brokers, custodians, and other external parties to oversee confirmations, settlements, and exception management., • Maintain a strong control environment by executing and reviewing operational controls and ensuring timely escalation and resolution of exceptions., • Drive continuous improvement by identifying opportunities to streamline workflows and enhance automation and control., • Support the full trade lifecycle including booking, confirmation, settlement, and reconciliation of cross product transactions., • Monitor positions, balances, and exposures to ensure data integrity and operational accuracy., • Identify and resolve trade breaks, discrepancies, and margin issues efficiently., • Collaborate with Trading, Risk, Finance, and Technology teams to maintain smooth daily operations., • Oversee cash and collateral movements across exchanges and custodians., • Produce and interpret operational and risk reports to support decision-making and trading efficiency., • Assist with process documentation, workflow automation, and control improvement initiatives. Qualifications • 3+ years of relevant experience in equity and/or multi-asset operations, middle office, or trade support roles., • Strong understanding of the trade lifecycle, settlement processes, reconciliations, and operational controls., • Bachelor’s or Master’s degree in Finance, Economics, Engineering, Mathematics, Computer Science, or a related discipline. Required Skills • Strong analytical and numerical ability; able to work confidently with data., • Proficiency in Excel; familiarity with Python, SQL, or similar analytical tools is an advantage., • Exceptional attention to detail and ability to manage multiple time-sensitive tasks., • Clear communicator, comfortable working with cross-functional global teams., • Flexible and willing to adjust to the needs of a global trading environment., • Curious, proactive, and eager to learn about the intersection of finance and technology.

Senior Software Engineer – Data Engineering Contract duration:- 6 months initially (with extension available for the right person) Location:- London Hybrid working:3 days per week in office + 2 days WFH Rate: £600-inside IR35 Join our Data Engineering team at the heart of a quantitative investment firm, powering the infrastructure which drives our systematic trading strategies and cutting-edge discretionary research. You’ll help architect a multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, MongoDB, and more. This is an opportunity to tackle complex distributed systems challenges at exceptional scale. What you bring to the role • Experience working with large scale messaging and downsampling solutions, • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics, • 5-7 years of professional experience in software engineering with Java as your primary language, • Proficient on Linux platforms and strong understanding of Git, • Deep knowledge of one or more relevant database technologies such as Iceberg, Postgres, or MongoDB, • Strong problem-solving skills and attention to detail, • Strong communication and collaboration abilities, • Ability to work independently and gather requirements from stakeholders, • Experience working in Asset Management/Investment Management/Investment Banking/Financial Services Advantageous to have • Familiarity with distributed systems and orchestration, • Experience with performance optimization and large-scale data processing, • Contributions to open-source projects, • Experience working with Large Language Models (LLMs)

Quantitative Analyst/Data Scientist – Investments London – Hybrid Up to £100,000 + Bonus About the Role We are working with an investment company specialising in the credit and lending space. They are seeking a Quantitative Analyst/Data Scientist to join their growing Credit & Asset-Backed Finance team. This is an opportunity to be part of a specialist group focused on complex, non-corporate credit opportunities across asset-backed finance, lending, and other structured credit situations. You’ll play a key role in shaping the quantitative capability behind high-value investment decisions, working across modelling, valuation, data infrastructure, and portfolio analytics. Key Responsibilities • Building and implementing quantitative models to support pricing, valuation, and risk assessment across asset-backed and structured finance investments., • Conducting deep-dive analysis into granular loan-level datasets (e.g. consumer, SME, mortgages, receivables) to support investment selection and portfolio monitoring., • Developing and enhancing analytical tools and systems used to store, process, and monitor investment-related data., • Working closely with investment, risk, and operations teams to optimise deal structures and maintain robust monitoring frameworks., • Tracking market movements, regulatory changes, and sector trends to provide insights and recommendations to senior stakeholders., • Supporting the full investment cycle, from origination and underwriting through to ongoing performance reviews and committee updates., • Collaborating with colleagues across the wider investment platform to share knowledge and drive best practice. What We’re Looking For • Master’s or PhD in Mathematics, Statistics, Physics, Engineering, or another quantitative discipline., • At least 3 years’ experience in asset-backed finance, structured credit, quantitative analysis, data science, or credit risk., • Strong experience working with granular loan-level datasets across consumer, SME, real estate, or receivables portfolios., • Proficiency in Python and a strong command of statistical and financial modelling techniques., • A solid understanding of asset-backed finance structures and market dynamics., • Excellent problem-solving skills and strong attention to detail., • Ability to communicate complex ideas clearly to both technical and non-technical audiences., • A proactive, high-ownership mindset suited to a fast-paced investment environment. If this role looks of interest, apply here.

A leading global asset management firm is seeking an ambitious and technically skilled Quantitative Analyst to join its high-performing Fixed Income investment team. This role offers the opportunity to work directly with experienced Portfolio Managers contributing directly to idea generation through the development and application of quantitative models. Key Responsibilities: • Conduct quantitative analysis to support Portfolio Managers in identifying value and risk drivers across global and emerging markets, • Develop and enhance quantitative models to support investment decision-making, • Design and implement analytical tools and dashboards to enhance investment insights, • Work closely with Portfolio Managers to translate quantitative findings into actionable investment insights, • Automate workflows and visualise model outputs to improve efficiency, • Collaborate with Technology team to continuously improve the team’s analytical infrastructure and models Ideal Candidate Profile: • 4-8 years of relevant quantitative research experience at an asset manager or hedge fund, • Degree in Computer Science, Mathematics, Statistics, Econometrics, Quantitative Finance, Engineering or related quantitative discipline, • Strong proficiency in Python or R with practical experience using SQL, • Familiarity with fixed income markets, • Curious, analytical and results-driven with a pragmatic approach to problem-solving, • Strong attention to detail combined with an ability to prioritise effectively, • Excellent communication skills and a collaborative mindset, • Proactive and self-motivated with a strong sense of ownership and accountability Mason Blake acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. Mason Blake is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.

Quantitative Developer Industry: Energy / Commodities / Trading Technology Location: London - Hybrid Salary: £100-160,000 Base Salary + Market-Leading Bonus Potential X4 Engineering are delighted to partner with a leading commodities trading group who are seeking a Quantitative Developer to join their high-performing Pricing & Risk Technology function. The team builds and maintains the core valuation engines that support trading, risk, and quantitative research across energy markets and equities. In the role, you will drive the development and enhancement of the firm’s Python-based pricing library, the backbone of real-time and end-of-day analytics. You’ll work closely with quants, traders, and risk technologists to deliver fast, accurate, and scalable models for both vanilla and structured derivatives across Oil, Power, Gas, and Equity products. You will take ownership of implementing complex pricing models, designing calibration routines, integrating market data, and ensuring robust model performance in live trading environments. This position is well suited for someone who blends strong quantitative expertise with production-grade engineering skills and enjoys solving sophisticated modelling challenges. Key Requirements • 5–10 years’ experience in quantitative development, model engineering, or trading technology., • Advanced degree (Master’s or PhD) in Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline., • Advanced Python engineering capability (inc. NumPy/SciPy/Pandas)., • Strong understanding of derivatives pricing theory., • Background working with commodity or equity options, including structured derivatives., • Solid understanding of Greeks, risk measures, and valuation impacts in front-office contexts., • Exposure to cloud compute or CI/CD tooling (AWS, Docker/Kubernetes, Git/Jenkins)., • Experience supporting pricing models in live production environments is highly desirable. This role offers the opportunity to influence mission-critical pricing infrastructure used globally, while contributing to innovation in modelling, calibration, and performance optimisation. If you're interested in exploring this opportunity, please get in touch or apply directly via the job advert.

About Us: Our Vison is to be admired for our craft, experience, and sustainability. Desired by our customers and loved by our people. Today Moss is more than a menswear brand, we are ‘Styling individuals for moments that matter’. We’re not just for men on their big day – we’re for everyone, all the time. Whether they need to hire a one-off outfit, elevate their daily wardrobe, or create a custom piece, we’re by their side with over 170 years of tailoring know-how and considered clothing made for life as we all live it now. Our shared values encourage us to Trust our colleagues to think Creatively and plan for the sustained growth and development of Moss. For us this is about working Collaboratively and using Agility to achieve success, whilst leaving a positive impact. Embracing our core values and behavioural competencies strengthens relationships with our customers and colleagues. Purpose of the Role: In the Buyer Admin Assistant role, your main job is to provide comprehensive administrative support to the Buying Team, assisting in the management of the buying process from start to finish, and ensuring the timely delivery of merchandise. You will collaborate with suppliers, vendors, marketing, merchandising, and Ecommerce teams. Your tasks will include managing calendars, scheduling, raising SKUs, tracking purchase orders, managing inventory levels, coordinating sample management, conducting market research, analysing sales data, and supporting trade meeting preparations. Key Responsibilities: • Provide comprehensive administrative support to the Buying Team, streamlining day-to-day operations through effective management of calendars, scheduling, and travel arrangements, alongside maintaining key planning tools and processes., • Assist in the buying process from start to finish, including raising SKUs, creating and tracking purchase orders, managing inventory levels, and ensuring the timely update of web descriptions and compositions., • Coordinate sample management, prepare for fit sessions, and liaise with suppliers, ECOM, and Marketing to manage supplier critical paths and ensure timely delivery of samples and merchandise., • Conduct market research and analyse sales data to identify new product opportunities, trends, and inform buying decisions, contributing to the preparation of trend boards and coordinating best sellers for trade meetings., • Manage product samples efficiently, keeping the sample room organized and tracking the critical path to ensure departmental efficiency and smooth operations across internal departments., • Support the presentation and preparation for trade meetings on an ad hoc basis, demonstrating speed and accuracy in task completion, flexible and organized work approach, and effective communication skills., • Maintain a keen awareness of key trends and themes in the Menswear formal and casual sector, ensuring accurate management of SKU and PO processes and contributing to the department's smooth running. What You'll Need to Succeed: Technical: • Proficient in Microsoft Office Suite, particularly in Excel and PowerPoint., • Basic knowledge of mathematics., • Experience with or understanding of an ordering system. About You: • Exceptional organisational, communication, and detail-oriented skills with a proactive approach to multitasking and pressure situations., • Consistently embodies Moss's core values and behavioural competencies in daily responsibilities and interactions. REWARDS & BENEFITS: • Employee Discount: 70% discount across all our stores., • Season Ticket Loan: Financial support for commuting., • Cycle to Work Scheme: Encouraging eco-friendly travel., • Discounted Gym Membership with PureGym: Promoting physical health and fitness., • Life Insurance: Providing peace of mind for colleagues., • Ongoing Development: Tailored to suit your career ambitions from day one., • Access to Moss Learning: An online learning platform for skill enhancement., • Employee Hub: Easy access on the go to colleague benefits, recognition, wellbeing, and company updates., • New Baby Gift: Celebrating important personal milestones of colleagues. If you want to know more about MOSS, our people and our culture, search #LifeatMoss or TailorYourCareer on LinkedIn

Assistant Headteacher Start date: September Salary: L10–L15 (Fringe) Contract: Full-time, Permanent We are seeking to appoint an exceptional Assistant Headteacher to join our senior leadership team from September. This is an exciting opportunity to help shape the next phase of development in a successful 11–18 secondary school, recognised as good with outstanding features and driven by a clear moral purpose. Our school is characterised by high expectations, strong routines, excellent behaviour and a calm, purposeful learning environment. We believe that outstanding teaching, underpinned by strong relationships and consistency, transforms lives. You will work closely with a supportive, principled and ambitious Headteacher who values people, invests in leadership development and leads with clarity and integrity. A central responsibility of this role will be Teaching and Learning. The successful candidate will lead the continued refinement of classroom practice, ensuring teaching is consistently strong, knowledge-rich and ambitious, so that all students — regardless of background — achieve highly. The ideal subject specialism is Mathematics; however applications are also warmly welcomed from candidates with expertise in: • English, • Spanish / Modern Foreign Languages, • Geography, • Business, • Leading whole-school Teaching and Learning, securing consistency and excellence in classroom practice, • Coaching, developing and holding colleagues to account with professionalism and care, • Contributing strategically to school improvement planning and self-evaluation, • Polite, focused and aspirational students who are proud of their school, • A strong culture of discipline, respect and academic ambition, • A highly supportive leadership team with a commitment to staff wellbeing, • Is an outstanding classroom practitioner with a proven record of impact, • Believes deeply in the power of education to change lives, • Has the credibility and presence to lead others with confidence and humility Please submit your CV to Alison at Clarus Education. Shortlisted candidates will be contacted by their personal consultant within 24 hours. For further details on how we handle your data, please refer to the ‘Privacy Notice’ on our website under the ‘About’ section. We are dedicated to safeguarding and promoting the welfare of children and expect all staff to share this commitment. As an Assistant Head Teacher, you will have a safeguarding responsibility if appointed. The successful Assistant Head Teacher candidate will be subject to enhanced clearance through the Disclosure and Barring Service, and employment will be subject to references. This Assistant Head Teacher post is not exempt from the Rehabilitation of Offenders Act 1974. Apply for this Assistant Head Teacher opportunity by sending your CV to Alison at Clarus Education. You will be contacted by your personal consultant (if shortlisted) for the Assistant Head Teacher within 24 hours. Please see our website page headed ‘About’ and scroll to the bottom to see our ‘Privacy Notice’ for an explanation about how we use information we collect about you. #INDTALND22

About Sahaj Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solutions, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges, and provide customers with a competitive edge. About the role and the skill set: A Data Scientist at Sahaj should be able to interact with clients and help solve client problems. They should be conversant with problem solving, first principles thinking, data science model life cycle, metrics, and deployments. The model choices should be chosen based on accuracy requirements, the target operational environment and the latencies. The activity for a data scientist involves conceptualizing, formulating, coding and deploying the solutions to the problem. They should be conversant with using cloud computing depending on the target environment. They should be conversant with interacting with the clients and be able to make sense of ambiguous problem statements. Our client problems can range in a variety of domains. Some examples, but not limited to, are building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas, and be conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can collaborate with engineering and business teams and is good at formulation, solving and deploying Data Science models. What will you experience in terms of culture at Sahaj? A culture of trust, respect and transparency Opportunity to collaborate with some of the finest minds in the industry Work across multiple domains What are the benefits of being at Sahaj? Unlimited holiday allowance Life insurance & private health insurance Stock options No hierarchy Open Salaries

📍 London Office | 🏡 Hybrid working | 💼 up to £45, 000 pa DOE | 🕒 Full-time We are looking for a bright, enthusiastic individual with business analyst experience to be a senior contributor to the Analysis function within our Programmatic Advice & Suitability (PAS) Team, a team our CEO proudly calls Saltus’ “secret sauce”! This team forms a vital part of our M&A Integration process and specialises in facilitating the vertical integration of acquired firms by running large projects to recommend clients move their investments to our award-winning investment solution. Why Saltus? Our mission is to improve everyone’s relationship with their wealth: to make it a positive force for their future and at the same time to prevent it being a source of anxiety. We want everyone who works at Saltus to be proud to work here, and to find fulfilment and meaning in the work that they do. We are a successful LLP, with a number of offices including London, Whiteley, Farnham, Bath and Newcastle. We are incredibly proud of our culture and work really hard to ensure that Saltus is a great place to work for our people, where they can have fun and grow in their career, with a passion for excellence and customer service. Saltus is an independently owned financial planning and discretionary investment management house. We are dedicated to providing a high-quality service for private clients, trusts, and smaller institutions. Saltus Partners was founded in 2004 and has grown organically and through a small number of carefully integrated acquisitions. Originally the business started out as an investment manager and has now developed the financial planning side of the offering, putting this at the forefront of the client relationship. Today Saltus manages and advises on over £10 billion of client assets, acquired through a combination of organic business growth and corporate acquisitions. What does this role look like? Saltus is seeking a Senior Analyst to work within our PAS Team based in London, working as a leader and key contributor within our talented analysts who deliver our programmatic advice campaigns. You’ll be joining one of the most dynamic and strategically important teams in the business, supporting our firm’s focus on M&A as we seek to take advantage of unprecedented consolidation in the wealth management industry. You’ll have a wide range of responsibilities, including the following: • Leading centralised replatforming projects for wealth management businesses we acquire around the UK, including travelling to these firms on a regular basis to build strong relationships with their teams while acting as an ambassador and point of contact for Saltus., • Line managing other analysts in the team who will be supporting on your projects as well as potentially running their own, mentoring and developing them to support their progression., • Coordinating and overseeing the daily operations of the Analysis function within the PAS team to ensure we can deliver our projects to a high-standard and on-time., • Supporting the recruitment and onboarding of new analysts joining the team, ensuring we continue to bring the best talent into the team., • Contributing to the leadership of the PAS Team and working on strategic initiatives to enhance our productivity, the robustness of our processes and client satisfaction., • Collaborating with various internal teams to gather, verify, and analyse client data from acquired firms. Ensuring data accuracy and completeness to facilitate informed decision-making and triage of acquired clients into our programmatic replatforming campaigns., • Utilising our specialist in-house technology to generate and send high-quality clients reports recommending transfers to the Saltus Platform, always putting yourself in clients’ shoes to ensure they have the best experience possible., • Supporting advisers on a daily basis with client-related queries and using your energy and expertise to drive forward the campaigns., • Finding solutions for often complex business problems using problem-solving skills and subject-matter expertise to find the best outcomes. What sort of person are you looking for? We think that the best candidate for this role will have: • Ideally a minimum of 2 years’ experience in Financial Services, • A holder of a minimum of a 6 (or B) in Mathematics at GCSE or equivalent, • Demonstrated leadership abilities, including the capacity to mentor and develop team members., • Experience managing complex projects, with good time management skills and the ability to prioritise tasks and work to multiple deadlines., • Excellent analytical skills and an ability to maintain a high level of attention to detail when working with large datasets, • A technology native who has applied experience with Microsoft Excel but who is comfortable applying that knowledge to other systems. Some experience of coding will be advantageous, • Someone with intellectual horsepower who is able to understand new concepts and processes quickly and has an innate curiosity for solving business problems, • Someone with a ‘growth mindset’, i.e. an appetite for testing yourself and using past mistakes as a springboard to keep improving, • An excellent communicator who is also down to earth and can work well in a team, • An influencer with the ability to work with business stakeholders at all organisational levels, able to advocate for themselves as well as the team under pressure, • The ability to form successful professional relationships both internally and externally Where will I be working? We’re incredibly flexible about where, when and how you work: we don’t want anyone to be prevented from coming to work for Saltus as a result of the working pattern that they’re looking for. Ideally, you’d be able to be based out of our London office for two or three days each week, working the remainder of the week from home. Alternatively, you might work part of your working week from one of our other offices. We are passionate about championing flexible working for our people, so if there’s a slightly different working pattern that you’re looking for, then please come and have a chat to us about it! What benefits do I get when working for Saltus? You’ll get a salary of between £35,000 – £45,000, dependent on experience, alongside 28 days’ holiday (plus bank holidays), study assistance, life assurance, income protection and a pension, alongside access to our flexible benefits platform. Just as importantly, you’ll get to experience our culture, which we really do live and breathe, ensuring that Saltus is a fantastic place to work for every single one of our 200 people. We work hard, but we have an awful lot of fun along the way. If you think you’d like to come and join us, then please do get in touch… we’d love to hear from you!

Data Science Manager London – Hybrid Up to £80,000 About the Role We’re working with an fintech that’s transforming how people think about saving and investing. Their mission is to simplify financial wellbeing through technology - building products that help millions of people make smarter, more confident financial decisions. As a Data Science Manager, you’ll lead Data Science projects within the data team, with the idea to work towards people management. You'll play a key part in shaping how customer data informs decision-making at scale. Key Responsibilities • Lead and develop a team of data scientists, providing technical guidance and strategic direction., • Partner with senior stakeholders to identify opportunities for data-driven improvement in customer engagement, retention, and product experience., • Oversee the design, development, and delivery of advanced analytical models and insights that support business growth., • Translate complex data into clear, actionable recommendations that drive commercial impact., • Collaborate closely with BI and Data Engineering teams to ensure reliable data foundations and scalable analytical solutions., • Champion the use of data science across the organisation, embedding a culture of evidence-based decision-making. What We’re Looking For • Strong grounding in statistics, mathematics, and applied data science., • Proven experience leading analytics or data science projects from conception to delivery., • Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib) for analysis, modelling, and visualisation., • Experience with customer, product, or financial analytics - understanding drivers of engagement, retention, and value., • Track record of working in agile, cross-functional environments and delivering measurable impact., • Excellent communication and stakeholder management skills, with the ability to influence non-technical audiences. Please note: This role cannot offer sponsorship

We are currently looking for ambitious graduates to join one of the worlds leading Investment Managers based in their London office. Currently managing over £200bn in AUM, this firm develop customised investment strategies that address unique objectives, requirements and tolerance for risk. They develop solutions by leveraging their risk management tools and utilising a highly disciplined investment process that relies on fundamental analysis. Predominant role is working within Investment Solutions to support the Investment Management team in delivering asset–liability modelling (ALM), strategic asset allocation (SAA) analysis and risk analytics for funds. The role focuses on preparing and validating datasets, running and documenting model analyses using a software suite, producing high-quality client materials, and potentially assisting with RFP/RFI responses, demos and meetings. The analyst will learn about investment process and use its proprietary software tools. Investment Management Support • Assemble, clean and reconcile input datasets (assets, liabilities, constraints) for ALM/SAA studies; maintain auditable workflow., • Run model analyses under direction (scenario sets, sensitivity tests, stress runs) and produce clear exhibits (tables, charts) for clients., • Document assumptions, methodology and results; maintain project files, trackers and version-control hygiene., • Prepare portfolio- and benchmark-level risk/return summaries to support investment proposals and client reviews., • Contribute to timely delivery of analytics to support the investment team’s sales process and client discussions. Technical & Modelling Support • Develop a strong understanding of the various asset classes and product lines that the firm manages and the services it provides., • Develop working proficiency with Conning’s modelling tools (e.g., economic scenario generation, portfolio analytics) and internal utilities., • Build light automation (Python/R/Excel VBA/SQL) for recurring data preparation and quality checks., • Contribute to periodic calibration/assumption reviews and maintain the assumptions library with proper documentation. Requirements • Degree in a quantitative discipline (Actuarial Science, Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, etc.)., • Solid understanding of core capital markets concepts, • Hands-on skills in Excel (advanced), PowerPoint; working knowledge of Python (SQL desirable)., • Clear written and verbal communication; ability to produce client-ready exhibits with strong attention to detail., • Team-oriented, organised and proactive; able to manage multiple tasks and deadlines.

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is ideal for a technically strong, quantitatively minded professional with a background in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: • Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios., • Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives into robust analytical solutions., • Build software using modern technology to enable investing and asset management at scale., • Apply Bayesian modelling and probabilistic programming techniques to address uncertainty and improve prediction accuracy., • Analyse large-scale datasets to identify key drivers, trends, and early warning signals within NPL portfolios., • Clearly communicate model results, insights, and recommendations to stakeholders, including both technical and non-technical audiences., • Stay current with advances in statistical modelling, machine learning, and data science, continuously evaluating and integrating new techniques and tools. Requirements: • University degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics, Economics); advanced degree preferred., • Strong expertise in statistical modelling, Bayesian inference, and machine learning., • Proficient in Python (using libraries such as NumPy, pandas, scikit-learn, PyMC or Stan), • Experienced in SQL. Ability to write efficient and robust queries., • Demonstrated experience working with large and complex datasets., • Ability to communicate complex analytical concepts clearly and effectively to a range of audiences., • Experience with model governance, documentation, and deployment best practices., • Experience with cloud environments (e.g., AWS Sagemaker)., • Experience with collaborative development tools (e.g., Git, JIRA) is a plus., • Prior experience in financial services, banking, or credit risk modelling is beneficial., • 5-8 years experience in a Data/Analytics role, ideally within a Financial Institution Why This Role • Opportunity to build an analytics function from the ground up in a cutting-edge, entrepreneurial environment., • Work with massive datasets and modern tools at the forefront of fintech innovation., • High-impact role directly contributing to investment and portfolio decision-making.

Our client is a global energy & commodity trading group and one of the most exciting and commercially driven Commodity Trading houses in the industry! Working as part of the London Middle Office team, you will be responsible for UK and European LNG, Power, Gas, Ags and Oil (Financial) traded products, correct position reporting, pricing and adherence with trading limits, and more. PRINCIPAL DUTIES/RESPONSIBILITIES: • Production of a daily PnL and Risk reports for the trading desks (also supporting other desks covering the commodity spectrum, more specifically Ags, LNG, Metals), be able to produce a breakdown and explain key drivers., • Production of weekly management reporting on all portfolios with concise communication on changes to the risk profiles within the books., • Development of non-linear risk reporting for option portfolios., • IPV on prices, and volatility., • Improvements to enhanced reporting platform and risk decomposition., • Key point of contact for communicating changes to risk profile to management with clear narrative as to subsequent changes to risk profile and commercial understanding as to reasons for positions., • Support with complex trade booking, • Good understanding of financial derivatives including options and option sensitivities, • Frequent and daily interaction with traders to understand core positions and trading rationale., • Implement new controls: liaise with Tech team to improve and enhance processes., • Development of enhanced reporting platform. SKILLS: • Educated to bachelor’s degree (or equivalent) level in highly numerate subject (Mathematics, Financial Mathematics, Mathematical Finance, etc.), • Ability to work as part of a team., • Ideally 2-5 years’ work-based Middle Office/Product Control/Risk Management experience in a similar role in an Energy/Commodities trading environment., • Technically competent with ETRM systems and tools; specifically, Openlink/Endur/ICTS., • Self-starter organized and autonomous., • Process improvement mindset., • Fluent English, speaking and writing., • Advanced Excel skills, VBA SQL, Python preferred. Data visualization experience, Tableau/Dash, • Passionate about risk and processes, capable of working with the business lines to embed risk awareness and culture into everyday processes.

📊 Junior Data Scientist (0–2 years) | Competitive Package (DOE) | London | Hybrid Working 🚀 Are you a Junior Data Scientist looking to start your career working on meaningful, real-world problems in the energy and sustainability space? We’re looking for a curious and motivated Junior Data Scientist to join a growing, mission-driven team in London, working in a flexible hybrid environment. This role is ideal for someone early in their career who’s excited by data, passionate about sustainability, and eager to apply analytics and machine learning to help drive the energy transition. You’ll sit within a collaborative data and analytics function, contributing to projects focused on energy insights, reporting, and optimisation, while learning from experienced data professionals in a supportive, growth-oriented environment. 🔍 In this role, you’ll: 📈 Develop and support analytical and statistical models using Python 🛠 Work with real-world energy and environmental datasets, including data cleaning, validation, and feature engineering ☁️ Use AWS services to support data storage, processing, and analytics workflows 🗄 Query and manipulate structured datasets using SQL 📊 Build reports, dashboards, and visualisations that translate data into clear, actionable insights 🌍 Contribute to carbon, environmental, or sustainability reporting (training provided if new to this area) 🤝 Collaborate with analysts, engineers, and non-technical stakeholders to support data-driven decision-making 📐 Help maintain best practices around data quality, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentoring from senior data professionals, and clear progression pathways 💡 Learning Culture – A collaborative team that values curiosity, ownership, and continuous improvement 🏢 Hybrid Working – A balanced mix of remote work and time in a central London office 🌱 Purpose-Driven Work – Apply your skills to projects that support sustainability and the energy transition 💰 Competitive Package – Compensation and benefits tailored to experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field 💼 0–2 years of experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome) 🐍 Strong Python experience for data analysis and modelling (pandas, NumPy, scikit-learn or similar) 🗄 Solid experience working with SQL and structured datasets ☁️ Hands-on experience using AWS (e.g. S3, RDS, Athena, Glue, or similar) 🧮 A good understanding of statistics, data wrangling, and analytical thinking 🌍 A strong interest in the energy and sustainability sector ⭐ Bonus: exposure to carbon reporting, environmental reporting, ESG data, or energy-related analytics 💬 Clear communication skills and a collaborative, proactive mindset If you’re excited about building a career in data science while contributing to a more sustainable energy future, we’d love to hear from you. 👉 Apply now and take the first step in your data science career.

ETRM Back Office & Accounting Senior Business Analyst - £70-100k Basic Global ETRM software house seeks an ETRM Back Office & Accounting Senior Business Analyst to join their London office. You will join a very established but rapidly growing Cloud-native ETRM software business, whose software is a modern trading and risk platform, already used by several leading global commodity trading businesses, hedge funds and investment banks. Already boasting top-tier European and more Global energy trading clients, their professional services team plays a key role in developing the software to support and address the complex business challenges faced by energy market players. This position is based out of their Central London office, but they do also have other offices in Singapore, Houston and New York City. About The Role • ETRM Senior Business Analyst with a strong focus on Back Office and Accounting, to become a key owner of their ETRM Back Office & Accounting framework., • This role is about more than gathering requirements: you will help standardize and industrialize Back Office and Accounting capabilities across clients across the oil, gas, power, certificates, and metals financial and physical markets. You will define and maintain the standard (out-of-the-box) Back Office & Accounting setup, write and curate functional documentation, and act as a functional reference during implementations and go-lives., • You will work across the full trade lifecycle - from deal capture to settlement, invoicing, payments, accounting postings, accruals, close processes, and regulatory reporting - ensuring the ETRM software supports robust, auditable, and scalable operational and financial processes for energy and commodity trading firms. The BA team combines deep business understanding with a strong grasp of the system’s underlying design, enabling tight collaboration with development teams., • You will act as the internal reference for Back Office & Accounting across ETRM, ensuring consistency of delivery, promoting standardization, and accelerating client implementations. Key Skills & Qualifications sought: • Proven experience as a Business Analyst (or even better as a Senior Business Analyst) working in ETRM Back Office and Accounting topics (as BA, functional consultant, product specialist, or similar), • Strong understanding of the trade lifecycle for ETRM, especially:, • Settlements, invoicing, payments, cash management interfaces, • Accounting postings (journal entries), accounting events, accruals, close processes, • Reconciliations, controls, and auditability requirements, • Experience with ERP / GL integration is a strong plus, especially SAP interface topics (IDoc/file/API-based), mapping, and reconciliation, • Exposure to regulatory reporting constraints or reporting-driven data quality requirements is a plus (depending on client context), • Ability to read and understand object-oriented code (C#) to investigate behavior, support discussions with developers, and validate implementations, • Bachelor’s degree or further education in Mathematics, Engineering, Computer Science, Finance, or related fields Please e-mail Ben at for more information.

Quantitative Risk Analyst – Contract (Inside IR35) Location: London Day Rate: £300–£375 per day (Inside IR35, Umbrella rate) A leading financial markets organisation is looking for a Quantitative Risk Analyst to support ongoing development and refinement of its margin and risk models. This role is ideal for a highly analytical researcher with strong technical skills and a deep academic background. What You’ll Be Doing • Carry out quantitative research and empirical analysis to help shape margin methodology and risk-mitigation strategies, • Design and implement back-testing approaches to assess model performance and coverage, • Create and run QA test cases to validate model behaviour and underlying code, • Build tools and pipelines to clean, align, and manage large, complex datasets What We’re Looking For • PhD (preferred) or Master’s in Mathematics, Finance, Statistics, Economics, or a closely related quantitative field, • Solid knowledge of derivatives pricing and statistical analysis of market risk drivers, • Strong academic foundation in probability theory and stochastic processes, • Hands-on experience with Python, R, SQL, and C++, • Clear communicator with the ability to articulate complex concepts effectively This contract offers an excellent opportunity for a quantitatively driven researcher to apply advanced analytical skills within a highly technical risk environment.

An exceptional opportunity for a Catastrophe Research Analyst to join a leading Insurance company in Central London. About the Role Catastrophe Research Analyst to join the Corporate Enterprise Risk Management team. In this role, you will review catastrophe models licensed by proprietary View of Risk. This includes analysing a variety of global peril regions and staying up to date with the latest scientific research. Additional responsibilities include reviewing non-modeled perils, back-testing historical event claims, and developing tools and processes in collaboration with the wider team. The Team The Catastrophe R&D team consists of analysts with expertise in natural hazards, engineering, catastrophe risk and insurance risk modelling. The team is responsible for creating a view of catastrophe risk and is part of the Corporate Exposure Management function. Key Responsibilities • Evaluate Catastrophe models (e.g., Verisk), including designing model tests, reviewing vendor/broker evaluation documents and making recommendations for model adjustments., • Support development of the View of Risk by collaborating with catastrophe modelling, actuarial, claims, and underwriting teams., • Create custom tools for non-modeled or poorly modeled risks and develop novel techniques for model evaluation, including GIS and other analytical tools., • Identify potential large-loss scenarios and assess emerging risks., • Ensure compliance with all relevant regulatory requirements and demonstrate behaviors aligned with our company values, including integrity and customer focus. Skills and Experience • Graduate degree in geosciences, atmospheric science, mathematics, engineering or related fields., • Experience with catastrophe modelling ., • Strong knowledge of at least one catastrophe model suite (e.g., RMS, Verisk) or experience in model development., • Solid understanding of insurance concepts and exposure management processes., • Proficiency in data mining and handling large datasets., • Data analysis experience (e.g., R, Python, SQL)., • Strong statistical and quantitative modelling skills with excellent communication abilities., • Experience with GIS software or geospatial data analysis preferred. The Package • Salary up to £55,000, • 10% Annual Bonus, • Generous Pension scheme

IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world. The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a dedicated Imaging Scientist* on a permanent full-time capacity. *Applications are welcomed from candidates with varying levels of experience. Appointment level will be determined based on expertise and demonstrated capability. Please indicate in your application the level at which you wish to be considered: • Associate: Contributes to pipeline development and data analysis with guidance., • Mid-level: Independently develops analysis solutions and contributes to R&D projects., • Senior: Provides technical leadership, leads R&D initiatives, and mentors team members. Purpose of the Role: As an Imaging Scientist at IXICO, you will develop and implement analysis solutions for medical imaging (i.e. MRI and PET) data in neurodegenerative clinical trials. You will design, validate, and deploy imaging analysis pipelines that support pharmaceutical clients and IXICO’s innovation roadmap, working across the full lifecycle from proof-of-concept research to production-ready workflows. You will collaborate with cross-functional teams including Biomarker Science, Operations, and Technology to translate scientific requirements into robust, scalable analysis solutions. The role includes contributing to internal and sponsor-funded R&D projects, evaluating emerging imaging methods, and advancing IXICO’s scientific capabilities in neurodegenerative disease imaging. This role offers the opportunity to work at the interface of scientific research, clinical trial imaging, and analytic product development, helping to deliver biomarkers that enable the development of therapies for neurodegenerative diseases. Essential Duties and Responsibilities: Development & Delivery of Imaging Solutions • Design, develop and deliver imaging analysis pipelines based on customer needs and strategic aims., • Perform scientific validation, quality control, and documentation of developed imaging solutions., • Implement novel biomarkers and image processing methods into production-ready workflows., • Work with cross-functional teams (Biomarker Science, Operations, Technology) to ensure seamless handover and deployment., • Contribute technical descriptions of analytics solutions to proposals, charters, study documents, and marketing materials. Data analysis and reporting • Perform analysis of imaging dataset, statistical investigation, and generate reports summarizing scientific insights., • Assess and recommend new imaging biomarkers or analysis methodologies., • Assess and validate external analytical tools and applications for use in new workflows. Research and Development • Contribute to the R&D roadmap, developing new project proposals and reviewing planned initiatives., • Conduct stage-gated feasibility studies and prototyping to inform future product and solution development., • Translate cutting-edge research into practical solutions for clinical trials., • Lead and manage contracted research projects, ensuring delivery to timelines and quality standards. External Scientific Communication • Identify relevant topics for external scientific communication aligned with R&D activities., • Prepare and present abstracts, posters, or publications at conferences., • Contribute to marketing materials and scientific communication channels. Internal support and development • Provide support for ongoing clinical trials, troubleshooting issues, and provide expert guidance to address or support others in addressing analysis issues., • Contribute and support to project proposals for the strategic roadmap based on scientific advancements and/or business opportunity., • Support scientific leadership on subject area for all business-related needs such as internal planning, external communications and pre-sales activities. Qualifications and skills required for the role: Essential • PhD (or equivalent industry experience) in a relevant scientific or analytical discipline (e.g. Neuroscience, Computer Science, Bioinformatics, Engineering, Mathematics, etc), • Demonstrated expertise in at least one MR or Nuclear imaging modality and associated analysis., • Strong programming skills in Python, experience in Linux environments., • Experience developing imaging analysis pipelines., • Familiarity with neuroimaging software (e.g., FSL, SPM, ANTs)., • Good understanding of neuroanatomy and imaging biomarkers., • Excellent problem-solving, research, and communication skills. Desirable • Experience with Machine learning or deep learning techniques., • Experience working with large-scale imaging datasets., • Familiarity with clinical trial or regulated environments., • Experience with cloud or containerized workflows (Docker/Singularity)., • Familiarity with regulatory or clinical trial data standards. Benefits • Competitive remuneration package including benchmarked salaries., • Staff Annual Bonus Plans and Annual Salary Review., • Generous employer pension contribution of 6%., • 25 days annual leave, increasing up to 28 days with every year at IXICO., • BUPA private medical insurance scheme., • Life Assurance of 4x annual salary., • Employee Benefits Portal, offering various discounts in retail, food & drink, and entertainment., • Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties., • Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training., • Employee Assistance Programme offering advice and support on a wide range of topics., • Hybrid working model pattern split between working in the City of London and remotely., • Reimbursement allowance to purchase equipment to support working from home., • Generous employee referral scheme offering £2,000 for referring a successful candidate to the company., • Financial assistance for professional qualifications., • Opportunity to contribute to an industry where your work has an impact every single day. How to Apply IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services. IXICO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a dedicated Imaging Scientist* to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. *Applications are welcomed from candidates with varying levels of experience. Appointment level will be determined based on expertise and demonstrated capability. Please indicate in your application the level at which you wish to be considered: • Associate: Contributes to pipeline development and data analysis with guidance., • Mid-level: Independently develops analysis solutions and contributes to R&D projects., • Senior: Provides technical leadership, leads R&D initiatives, and mentors team members. If you think IXICO should meet you, please send us your CV and covering letter by email to or apply directly via LinkedIn. We are looking forward to your application. Please note that our entire business is operating under a Hybrid-Working Model, where UK-based employees are required to attend our London office 2 days a week. If you have got any questions, please reach out to our careers team. Please note that IXICO will process the data provided by you only in order to perform the outlined recruitment exercise. For more details on what data we process and on what legal basis this happens please view our Recruitment Privacy Policy or contact .

About the London Metal Exchange and LME Clear: The London Metal Exchange is the world centre for industrial metals trading. Most of the world’s global non-ferrous futures business is conducted on the LME’s three trading platforms totalling $18 trillion, 178 million lots and 4 billion tonnes with a market open interest high of 1.8 million lots in 2024. All trades are cleared and settled by LME Clear. Participants can transfer or take on price risk against aluminium, copper, nickel, tin, zinc, lead, molybdenum, cobalt, lithium, steel scrap, rebar and hot-rolled coil as well as alumina, aluminium premiums and alloys. The LME and LME Clear are HKEX Group companies. About the role: The Sustainability and Physical Markets team (“SPM”) is responsible for the strategy, delivery, and operation of the LME’s physical market and sustainability activity. This incorporates (i) the strategic development of all areas of the LME’s physical ecosystem including future commercialisation, sustainability, overall management of physical market relationships including producers of LME-listed brands, (ii) the operation of the LME’s physical network including LME warehousing, operation of the LME approved brands list, and LME responsible sourcing, and (iii) the operation of the systems that support and deliver this work and management of all related regulatory requirements including operational resilience. The SPM team is split into three closely linked sub-divisions to manage these activities, responsible for development and strategic activities, operational activities, or systems management. This role works across all aspects of SPM, working closely with the Chief Sustainability Officer + Head of Physical Markets and the SPM Chief of Staff (“CoS”) to ensure the team is working effectively, remains organised and acts as one overarching department. The role primarily supports the Chief Sustainability Officer + Head of Physical Markets and the SPM CoS but extended to other SPM management team members where possible for basic support such as meetings, travel and expenses. It will assist the SPM CoS with reporting and presentations where appropriate and other areas that support the SPM team in delivering its objectives. It will provide a key point of contact for external and internal stakeholders contacting the SPM team, as well as having the opportunity to provide input into a broad range of areas across SPM, helping shape the sustainability and physical market offering of the LME. Responsibilities: This role supports the daily operation of SPM. This includes: • Day-to-day management of the diary of the Chief Sustainability Officer + Head of Physical Markets and SPM CoS, including scheduling internal and external meetings with people located all over the world, booking meeting rooms / refreshments etc, • Booking travel for Chief Sustainability Officer + Head of Physical Markets and the SPM CoS in line with company policy; possibly for other management team members too (albeit only one addition likely to undertake significant travel), • Be first point of contact with the SPM team for external stakeholders – provide a friendly, helpful and efficient service to all, • Run SPM team meetings, including room booking, meeting agenda and chairing meetings, • Maintaining cleanliness and orderliness of the team’s digital files and records on multiple internal databases, • Implementing processes to improve team coordination and efficiency, • Meeting preparation, including collating meeting materials, proofing documents, and performing limited background research as required, • Note-taking in a variety of meetings that is clear and succinct, following up on action items as appropriate, • Providing other LME teams with briefings covering the current status of SPM activity where needed, • Logging purchase orders, invoices, and contracts for project expenses in line with company policy, • Support on managing and tracking the SPM team budget, • Managing deadlines for the team, • Organising social events, • Providing assistance on a range of SPM initiatives as appropriate, • Working towards developing knowledge of broader SPM activities, • Liaising with other LME and HKEX teams – especially as the assistant level to build relationships and facilitate organisation Academic and professional qualifications required: • Grade 4/Grade C and above in GCSE English and Mathematics, • Professional administrative/secretarial qualification preferred, but not essential Required knowledge and level of experience: • Demonstrable experience in an administrative or secretarial role, preferably in the same sector Skills set and core competencies required for role: • Excellent communication skills, both written and oral, and experience communicating with global audiences preferred, • Professional and possessing good manners, able to interact with significant internal and external stakeholders, • Interest in learning new concepts, business areas, and skills, • Highly organised with strong multi-tasking and time management skills, • Excellent proficiency in Outlook, Word, Excel and PowerPoint, • Ability to prioritise among multiple individuals’ demands, • Able to maintain confidentiality and act with discretion, • Confidence to follow up as required, obtaining information from multiple sources The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression and reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication.

We are seeking an experienced Manager – Financial Modelling to join the London team on a permanent basis. This role will lead the design, development, and review of complex financial models underpinning major renewable energy transactions, advisory mandates, and strategic decision-making. The ideal candidate will combine technical modelling excellence with strong commercial acumen and the ability to work closely with multidisciplinary teams. Key Responsibilities • Lead the creation, enhancement, and audit of financial models across renewable energy and energy-transition projects., • Support transaction teams with valuation analysis, sensitivities, bankability assessments, and pricing scenarios., • Translate project documentation, commercial terms, and technical inputs into accurate financial structures., • Prepare high-quality analysis and model outputs for clients, investment committees, and lenders., • Work with internal and external stakeholders — including legal, technical, and market advisors — to validate assumptions and integrate findings into financial models., • Provide modelling guidance and quality assurance across advisory workstreams., • Support the preparation of transaction materials, investment papers, and commercial recommendations., • Mentor and oversee junior analysts, ensuring best practice modelling standards are applied., • Stay informed of market trends, regulatory changes, and evolving financing structures in the renewable energy sector. About You • Advanced Excel skills and a strong command of valuation methodologies and project finance structures., • Proven track record building, maintaining, and auditing complex financial models., • Excellent numerical, analytical, and problem-solving skills with exceptional attention to detail., • Comfortable interpreting technical and commercial documentation and incorporating it into financial assumptions., • Strong written and verbal communication skills, able to present findings with clarity and confidence., • Collaborative mindset, capable of managing multiple workstreams in a fast-paced advisory environment., • Degree in Finance, Economics, Engineering, Mathematics, or related discipline; financial modelling certifications are advantageous. Why Join? • Lead modelling on high-value renewable energy transactions and advisory mandates., • Work with a respected advisory team shaping the future of global clean energy projects., • Competitive compensation with strong career development and progression opportunities., • Exposure to diverse technologies, geographies, and financing structures across the energy transition. Apply Now If you’re a skilled modeller looking to take the next step in renewable energy advisory, please send your CV to

Company Description Transform Together Consulting empowers individuals and organizations to reach their fullest potential through a modern-day approach to digital transformation. With a team of experienced professionals, the company focuses on delivering value and return on investment to its customers. By emphasizing speed and efficiency, Transform Together Consulting has built a reputation for helping clients achieve better outcomes in their digital transformation projects, specialising in data and AI. Located in the London Area, their mission centers on driving innovation and success for clients in the Financial Services industry. Role Description This is a full-time hybrid role for a Data Analyst - Principal Consultant based in the London Area, United Kingdom. Some work-from-home flexibility is available. In this role, you will be responsible for performing the following: • Advanced data analysis and modelling (Python and advanced SQL), • Developing relational, logical and physical data models, • Perform hands-on data analysis, including data profiling and validations, data quality assessment and traceability analysis., • Utilising the strength of AI to support and interpret structured and unstructured data, • Interpreting statistical findings to provide actionable business insights., • Requirements gathering with technical and non technical stakeholders for new data initiatives, • Working with all types of engineers across the digital transformation landscape, • Collaborating with cross-functional teams to communicate and contribute to impactful transformation initiatives., • Comfortable working with complex datasets and enterprise-scale data environments, • Experience in databricks and snowflake is advantageous, • BPA (Bulk Purchase Annuities) knowledge is advantageous but not essential. This role required with an immediate start due to the urgency of delivery needs, however candidates with longer notice period will also be considered. Qualifications • Strong Analytical Skills and expertise in Data Analytics, • Proficiency in Statistics and Data Modeling (Relational, Dimensional), • Excellent Communication skills to effectively convey insights and strategies, • Experience with data visualization tools and business intelligence platforms is a plus, • Bachelor's degree in a related field (e.g., Data Science, Mathematics, Business Analytics) is preferred, • Ability to work independently and collaboratively in a hybrid work environment Benefits and Perks • Highly Competitive Salary that rewards high performers, • Shareholding in Transform Together, • Training opportunities and incentives, improving yourself through experience and knowledge is one of Transform Togethers top priorities., • Industry leading health and wellbeing plan, • Life Assurance (4 x annual salary), • 25 days annual leave plus bank holidays, • Competitive pension scheme, • Hybrid working - we believe in work life balance, • An industry-leading referral scheme with no limits on the number of referrals, • Flexible holiday buy/sell option, • Mentoring scheme, • A variety of social events, • Multiple office locations to enable easy travel to office infrastructure across the UK Industry Business Consulting and Services Employment Type Full-time

Maths ECT | Sutton Are you an ambitious Maths ECT, who will be completing your PGCE/SCITT this summer? Looking for your first permanent Maths Teacher opportunity in September 2026 where you can progress quickly with amazing support around you? Ribbons & Reeves are working with a ‘Good’ Secondary School based in Sutton who are looking to expand their already high-achieving Maths department, by adding a talented Maths ECT to their team. Maths ECT | The Benefits of Joining This School: • Join a high-achieving Maths department with excellent support around you, • Be part of a forward-thinking organisation with Training School status, • Opportunity to work for one of the highest achieving schools in the borough of Sutton, • Permanent Maths ECT role starting in September 2026, • Interviews taking place ASAP for outstanding applicants Maths ECT | What do you need? • Obtained a 2:1 or 1st Class Maths degree from a Top UK University and PGCE with QTS, • Ability to teach engaging lessons to students up to GCSE, • Ambition to progress through the school, • Committed to safeguarding and ensuring a safe environment for all learners Based in the wonderful London Borough of Sutton, this will be a fantastic opportunity as a Maths ECT to work within a department that provides students with a challenging, inspiring, and thought-provoking curriculum. If you are a Maths ECT and feel this environment is ideal for your next move in September 2026, then please apply today and attach your updated CV! Ribbons & Reeves are London’s leading Education Recruiters. We specialise in helping educators of all levels secure long-term and permanent roles, such as this Maths ECT in Sutton. For other roles like this, check out our website, search ‘Ribbons & Reeves’. We look forward to supporting you in your application to this Maths ECT role. Maths ECT | ‘Good’ Secondary School in Sutton

Our client is a trader of Commodity and Energy products including, Gas, Power, LNG and Oil, based in Central London. They offer a unique chance to work within a growing and diversifying business, with a strong commercial appetite. We are looking for an experienced analyst to join our clients Commercial Risk team, with a focus on supporting the Gas, LNG, Power & Emissions trading teams. This Trading Floor based role offers exposure to all parts of the business. From partnering the front office, to various parts of the middle and back office e.g. Risk, Finance, Credit, IT and more. The team provides a key function to the business, supporting the management and monitoring of the company’s Risk exposures and valuations. The role requires a broad knowledge base, from understanding market movements and trading strategies across various commodities, to helping to maintain and improve ETRM applications. The role requires deep insight into commodities trading and risk management; physical/paper exposure management, FX exposure, VaR, P&L valuation. The role can expand with time to bring exposure to other commodities, such as Crude, Oil Products, Biofuels, Refining and develop further leadership accountabilities. As the Commercial Risk Analyst, you will be: • Responsible for the Gas, Power, LNG, Emissions, FX teams’ daily position and P&L reporting, providing commentary on key value generators and changes. Attributing and communicating in a meaningful way., • Supporting more Junior analysts in their daily activity., • Review daily the team’s exposure and value generated., • Review trading books are within Trading Delegations of Authority, and to ensure the hedging is carried out correctly each day, including hedging of trading FX exposure., • Perform or support team daily hedge processes as required., • Provide and support Risk input to pre deal analysis for new business initiatives., • Provide management information and analysis as required and to proactively seek to provide business beneficial commercial analysis., • Provide regular commentary on book performance and strategy, showing clear understanding, control, and risk measures to a variety of audiences., • Responsible for weekly/monthly/quarterly controls and input into financial close processes as required for designated business area., • Responsible for setup and maintenance of controls and reporting prior to commencement of LNG, Gas & Power, Derivatives and FX operations, and ongoing development thereafter., • Regular and active contributor to the wider Risk Team 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 understanding of P&L attribution and valuation, • Commercially aware with proven ability to provide input to new business initiatives and models., • Good communication skills, ability to interact with a variety of people. Analytical and detailed oriented mindset, • Experience of managing or supporting significant business growth, • Able to take, and maintain, an independent approach and challenge where appropriate.

Our client is a leading energy trading and analytics company specialising in the global LNG and European gas markets. They are currently experiencing growth and strategic expansion, prompting the need for a senior expert to oversee their market analytics functions. This role is crucial for enhancing their forecasting capabilities and supporting their trading operations with accurate, high-quality insights. Role Summary • Role: Head of Gas LNG & European Gas Analytics, • Experience Required: Extensive background in market analysis, trading analytics, or commodity research, with significant experience in LNG and European gas markets; proven leadership skills in managing analytical teams., • Details of the Role:, • Develop and oversee international supply/demand models for LNG and European gas hubs., • Lead analytics on market signals, price opportunities, and infrastructure constraints., • Collaborate closely with trading teams to translate market trends into actionable strategies., • Build predictive models using tools like Python, SQL, and R, and develop visualisation solutions., • Analyse European storage and inter-basin arbitrage opportunities., • Qualifications / Education Needed: Bachelor’s or Master’s degree in Economics, Finance, Mathematics, Engineering, or related disciplines., • Location: London-based., • Start Date: As soon as possible, subject to agreement.This role offers a unique opportunity to influence global LNG trading strategies within a dynamic, data-driven environment.

Vice President – Data Strategy & Transformation London – Hybrid (2–3 days per week) £120,000 – £150,000 + Benefits About the Role Our client is a specialist investment firm focused on the financial technology sector, with a strong track record of helping businesses accelerate growth and unlock value through data and technology. They’re now seeking a Vice President of Data Strategy & Transformation to join their London team. This is a high-impact role sitting within the firm’s innovation and value creation arm, working closely with portfolio company leadership teams and internal stakeholders to design and deliver data transformation initiatives across the fund. You’ll lead data diligence and strategy efforts, drive portfolio-wide data maturity, and ensure data becomes a true strategic lever for business growth and operational excellence. Key Responsibilities • Lead data due diligence for new investments, developing value creation plans that use data as a driver of business improvement., • Conduct data maturity assessments across portfolio companies, identifying opportunities to enhance data capabilities., • Partner with portfolio leadership teams to execute data transformation initiatives and deliver measurable impact., • Design scalable, secure data infrastructure within cloud environments (AWS, Azure, or GCP)., • Define and embed data governance frameworks ensuring compliance with regulations such as GDPR and CCPA., • Translate data insights into actionable business recommendations for senior stakeholders and C-suite leaders., • Track and report on data transformation progress, ensuring alignment with fund-wide value creation goals. What We’re Looking For • Proven experience in data strategy, transformation, or advisory, ideally within private equity, financial services, or top-tier consulting., • You’ll likely come from a background in data strategy consulting or financial services transformation, with around 7–15 years of experience., • Candidates with experience at these firms such or those who have led data strategy in PE-backed organisations, will be particularly well suited., • Deep understanding of the financial services data landscape - including data domains, regulatory requirements, and operational challenges., • Experience leading data-led value creation or due diligence for financial or PE-backed clients., • Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures., • Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases., • Expertise in data governance and compliance (GDPR, CCPA)., • Excellent communication and stakeholder management skills, with confidence engaging at C-level., • Comfortable operating in fast-paced, ambiguous environments with multiple projects running concurrently., • A degree in a quantitative or technical discipline (Computer Science, Engineering, Mathematics, Economics) is expected, and an advanced degree (MBA or MSc) is advantageous. Please note: Sponsorship is not available for this role.

Data Analyst – Private Credit Intelligence (Forecasting & Simulation Support) Location: London (Hybrid) Salary: £45,000 – £55,000 + Benefits (plus meaningful equity participation) Start Date: ASAP About the Opportunity: We’re recruiting on behalf of an ambitious, high-growth organisation building an intelligence platform for private credit — turning large-scale, real-world financial behaviour into forward-looking insight for fintechs and investors. This is a Master’s-level Data Analyst role for candidates with up to 2 years’ experience post-Master’s. You’ll sit close to the core analytics and modelling roadmap—supporting forecasting and simulation work through high-quality datasets, scalable reporting, and reliable pipelines—while also owning key BAU data and reporting responsibilities. What You’ll Be Doing: • Owning BAU analytics and reporting: recurring KPI packs, portfolio/credit performance reporting, trend analysis, and stakeholder updates, • Building and maintaining clean, analysis-ready datasets from messy real-world sources (portfolio, transaction, performance, behavioural and macro/market inputs), • Supporting forecasting/simulation initiatives by:, • Preparing modelling tables, features, and cohort definitions, • Producing validation checks, back-testing support, and monitoring metrics, • Documenting assumptions and ensuring outputs are reproducible, • Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA), • Improving data quality: reconciliation, anomaly detection, root-cause analysis, and automated checks, • Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented, • Collaborating with data science/engineering to push reliable datasets into production and reduce manual effort What We’re Looking For: • MSc completed in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Physics, Econometrics, OR), • 0–3 years professional experience post-Master’s in a data analyst / analytics role (internships/placements welcome in addition), • Strong SQL skills and confidence working with relational data and large datasets, • Strong Python for analysis/automation (pandas, NumPy; good coding hygiene), • Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards), • Solid understanding of analytics fundamentals: data cleaning, joining/aggregation logic, basic statistics, and QA approaches, • Comfort working in a fast-paced environment with a mix of BAU and project-based work, • Clear communication skills and a proactive, process-improvement mindset, • Full right to work in the UK (visa sponsorship not available) Desirable (Not Essential): • Exposure to credit / lending / risk / portfolio datasets, • Time series familiarity (trend/seasonality, cohorts over time, monitoring), • Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar), • Experience creating automated data quality frameworks or reconciliation checks Benefits: • £45,000 – £55,000 salary, • Hybrid working in London, • Strong benefits package (details shared during process), • Meaningful equity participation, • High-impact role working with real-world private credit data and a product-led roadmap How to Apply: Please apply with your most up-to-date CV and I’ll be in touch ASAP to arrange an initial call and share further details.

Orchestrade is a highly successful US-based fintech software vendor on an exciting growth journey after significant recent investment in new products, people, and capabilities. Our software is a modern trading and risk platform used by some of the world’s top banks, hedge funds, energy, and commodity traders to run their investing businesses. We have top-tier energy clients globally and our product team plays a key role in developing the software to support and address the complex business challenges faced by energy market players. Our headquarters is in the heart of Silicon Valley, with offices in Paris, London, New York, San Mateo, and Singapore. About The Role Orchestrade is looking for an Energy & Commodity Business Analyst with a strong focus on Back Office and Accounting, to become a key owner of our ETRM Back Office & Accounting framework. This role is about more than gathering requirements: you will help standardize and industrialize our Back Office and accounting capabilities across clients across the oil, gas, power, certificates, and metals financial and physical markets. You will define and maintain the standard (out-of-the-box) Back Office & Accounting setup, write and curate functional documentation, and act as a functional reference during implementations and go-lives. You will work across the full trade lifecycle - from deal capture to settlement, invoicing, payments, accounting postings, accruals, close processes, and regulatory reporting - ensuring Orchestrade supports robust, auditable, and scalable operational and financial processes for energy and commodity trading firms. The BA team combines deep business understanding with a strong grasp of the system’s underlying design, enabling tight collaboration with development teams. You will act as the internal reference for Back Office & Accounting across Energy & Commodities, ensuring consistency of delivery, promoting standardization, and accelerating client implementations. Responsibilities: • Become a functional owner of the ETRM Back Office & Accounting domain within Orchestrade for Energy & Commodities, • Define, maintain, and continuously improve the standard (out-of-the-box) Back Office & Accounting setup, including configuration guidelines and best practices, • Capture, review, and analyze client requirements related to: Accounting postings / journal entries, accounting events, accounting calendars, close processes; Accruals, deferrals, realized/unrealized P&L, fees, premiums, interest, price/volume adjustments; Settlement workflows, invoicing, payments, confirmations, netting; Operational controls, reconciliations, audit trails, and exception management; Regulatory / management reporting needs, • Design scalable solutions and write functional specifications for development teams (and configuration specs where relevant), • Contribute to integration designs and functional validation for ERP interfaces (e.g., SAP), including mapping of accounting outputs, reference data alignment, posting logic, and file/API specifications, • Run and support functional testing, • Support client implementations end-to-end on the Back Office & Accounting stream, • Produce and maintain high-quality documentation: standard operating procedures, setup guides, configuration playbooks and implementation checklists, • Provide training to clients and internal teams on Back Office & Accounting workflows and standard setup, • Contribute to product roadmap by identifying key product features to implement, • Ensure high software quality and consistency across clients by promoting standardization and reducing one-off configurations Qualifications: • MS degree in Mathematics, Engineering, Computer Science, Finance, or related fields, • Proven experience on ETRM Back Office and Accounting topics (as BA, functional consultant, product specialist, or similar), • Strong understanding of the trade lifecycle for commodities/energy, especially: Settlements, invoicing, payments, cash management interfaces; Accounting postings (journal entries), accounting events, accruals, close processes; Reconciliations, controls, and auditability requirements, • Experience with ERP / GL integration is a strong plus, especially SAP interface topics (IDoc/file/API-based), mapping, and reconciliation, • Exposure to regulatory reporting constraints or reporting-driven data quality requirements is a plus (depending on client context), • Ability to read and understand object-oriented code (C#) to investigate behavior, support discussions with developers, and validate implementations, • Results-oriented, analytical, pragmatic, and comfortable taking ownership of a domain and pushing standardization, • Strong communication skills and ability to run client workshops and drive alignment across stakeholders, • High attention to detail; able to produce clear documentation and robust test packs, • Proven expertise in one or more of the following areas is required: Commodity/energy back-office operations; Accounting processes and posting logic in trading environments; Settlements, invoicing, and payment workflows; ERP integration and reconciliation (SAP strongly valued)

Hawksworth UK are representing a respected European Investment Bank to recruit a ‘Pricing Services and Risk Viewer UI Developer. This is a Permanent opportunity paying up to £120,000 base salary + Bonus + Package. Looking at a level of Vice President. Working in a Risk FX IT Team. This is a Senior Software Development position that requires excellent C# and TypeScript/ React skills and strong knowledge of pricing model and risk analytics for both vanilla and exotic FX derivatives. Previous experience in developing scalable systems is essential. In addition to day-to-day coding, you will work closely with BA’s & traders and other software engineers to ensure seamless integration into real-time trading platforms. Key Responsibilities • Design and implement pricing and risk analytics tools for FX cash trades and options, including exotic and structured products., • Integrate and support the optimization of quantitative models in collaboration with quants and traders., • Maintain and enhance low-latency infrastructure for real-time risk and PnL calculations., • Conduct backtesting and performance analysis of models and trading strategies., • Provide technical guidance and support across the trading floor on model behaviour and system performance., • Liaise with technology and infrastructure teams to ensure robust deployment and monitoring of analytic tools., • Enhance the FX Options Risk Viewer UI in collaboration with traders and other IT team members Required experience: • Degree educated in a IT related subject, • Expert in Software development, • Solid understanding of Mathematics as applied to derivatives risk and pricing., • Expert C#, • Expert in Typescript, • Proficient in Quant Library integration, • Used to working in a faced paced Agile environment, • Front-Office experience with direct contact with Traders, • Any experience with interacting with APIs and web services interfaces. If you feel you would be suitable for this new requirement please apply now! You can also reach out to me directly at

Lead Data Scientist London - 3 days a week Up to £125,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities • Translate complex business problems into measurable data science solutions that deliver commercial value, • Lead the design, development, and deployment of predictive and optimisation models across multiple industries, • Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment, • Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions, • Conduct rigorous A/B testing and performance measurement to validate impact, • Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices, • Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: • Proven experience applying data science in commercial settings, • Proven ability to lead data science projects from concept to production, • Deep understanding of statistical modelling, predictive analytics, and optimisation techniques, • Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders, • Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university, • Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship

We are seeking a team-focused, inspiring mathematician to lead Mathematics across Key Stages 3–5. This role offers the opportunity to shape an ambitious, knowledge-rich curriculum and foster a deep, lasting curiosity about Mathematics that extends well beyond the classroom. You will join a modern, growing academy with a clear and purposeful ethos and play a key role in ensuring every student is supported to thrive academically and personally. The position is permanent and full-time, starting in April or sooner, at a growing and thriving academy in West London. The school has recently opened a Sixth Form and are therefore looking for a Head of Department who can help drive forwards and expand KS5 teaching within the school, while also managing GCSE curriculum to ensure the continuation of strong results, learning and student enjoyment. Character development and academic excellence sit side by side in this school. Students benefit from a state-of-the-art learning environment, a rich co-curricular programme, and strong partnerships with external organisations that help them see how learning connects to the wider world. Why lead Mathematics here? • Design, refine and embed a high-quality Mathematics curriculum with a clear progression from KS3 to A-level, strengthening uptake and deep disciplinary thinking., • Lead teaching and learning across the department, coaching colleagues, developing assessment practices and securing consistently strong classroom practice., • Build a culture of curiosity and ambition in Mathematics through enrichment opportunities, events and visits that broaden horizons and develop confident, articulate and critical thinkers., • Join a school with a strong upward trajectory and a clear commitment to student development and staff growth. What we’re looking for: A highly motivated classroom practitioner who: • Holds QTS and has recent UK experience of delivering good to outstanding Mathematics lessons across a range of abilities., • Brings secure subject knowledge and a proven record of raising attainment through effective assessment, feedback and intervention., • Demonstrates inclusive practice and strong behaviour routines, ensuring all learners feel safe, challenged and successful., • Leads through others by setting a clear vision, modelling excellent pedagogy and developing colleagues’ practice. We are looking for someone with proven experience in curriculum planning, a track record of outstanding teaching, and the ability to inspire and motivate both students and staff. This is an exciting opportunity to shape the future of Mathematics within the school and make a meaningful, lasting impact on student achievement.

Our client is a trader of Commodity and Energy products including, Gas, Power, LNG and Oil, based in Central London. They offer a unique chance to work within a growing and diversifying business, with a strong commercial appetite. We are looking for an experienced analyst to join our clients Commercial Risk team, with a focus on supporting the Oil Products trading team. However, the role can expand with time to bring exposure to other commodities, such as Crude, Biofuels, Refining, Gas & Power. This Trading Floor based role offers exposure to all parts of the business. From partnering the front office, to various parts of the middle and back office e.g. Risk, Finance, Credit, IT and more. The team provides a key function to the business, supporting the management and monitoring of the company’s Risk exposures and valuations. The role requires a broad knowledge base, from understanding market movements and trading strategies across various commodities, to helping to maintain and improve ETRM applications. The role requires deep insight into commodities trading and risk management; physical/paper exposure management, FX exposure, VaR, P&L valuation. As the Commercial Risk Analyst, you will be: • Responsible for the daily position and P&L reporting for selected commodity trading teams, providing commentary on key value generators and changes and attributing and communicating P&L in a meaningful way, • Monitor traders’ exposures and adherence to Delegation of Authorities and risk limits, • Perform daily hedge process as required, • Daily interaction with relevant trading desks and other front/middle office departments to support business risk management requirements, • Provide regular commentary on book performance and strategy, showing clear understanding and control to a variety of audiences, • Review trading books to ensure they are within trading Delegations of Authority and that hedging is carried out correctly each day, including hedging of trading FX exposure, • Provide management information and analysis as required and proactively seek to provide business beneficial commercial analysis, • Responsible for weekly/monthly/quarterly controls and input into financial close processes as required for designated business area, • Support the wider team by utilising cross cover capabilities for other team members and support overall team flexibility EDUCATION, SKILLS &EXPERIENCE REQUIRED: • Degree level education, preferably in Business/Finance/Banking/Mathematics/Statistics/Engineering or with appropriate working experience., • Proven experience in Oil Products in a risk or front office role., • Deep understanding of P&L attribution and valuation, • Commercially aware with proven ability to provide input to new business initiatives and models., • Good communication skills, ability to interact with a variety of people. Analytical and detailed oriented mindset, • Experience of managing or supporting significant business growth, • Able to take, and maintain, an independent approach and challenge where appropriate.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional research engineers and scientists taking a novel approach to accurate database reasoning. About the role This is a founding LLM agents research engineer role, with the opportunity to define how large language models act as reliable, long-horizon agents over complex enterprise data. • Design and build LLM-powered agent architectures for reasoning over complex tabular, relational, and heterogeneous data, • Develop planning, memory, tool-use, and verification mechanisms that allow LLM agents to operate accurately over databases, • Research and implement techniques for grounding LLM agents in structured data representations (tables, graphs, schemas), • Build training, simulation, and evaluation environments for long-horizon, multi-step agent behavior, • Develop self-supervised and reinforcement learning objectives for improving agent reliability and correctness, • Integrate foundation model embeddings and symbolic components into agent workflows, • Own agent systems end-to-end, from research prototypes to production-grade systems Required experience • Proven ability to lead or significantly contribute to teams tackling hard research-engineering problems, • MSc / PhD in Mathematics, Physics, Computer Science, or a related field, • Strong hands-on experience building LLM-based systems with modern ML tooling (PyTorch, Ray, JAX), • Experience designing agentic systems (planning, memory, tool use, multi-step reasoning), • Strong understanding of transformers and foundation model behavior, • Comfortable owning whatever needs doing, from research ideas to infrastructure, • Experience optimizing large-scale training, fine-tuning, or simulation workloads on GPU clusters Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain., • Team: We are a small, collaborative, world-class research team based in central London., • Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great., • Direction: Chance to shape the direction of a new class of foundation model from day one. Culture • At Native, we look for people with exceptional research and engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

🚀 Data Scientist – Demand Forecasting | High-Growth Environment 🚀 🛒Global e-Commerce Retailer 🛒 📍 London or Norwich (Hybrid 1-2 days in office) 💻 Python | SQL | Time Series | Forecasting 💸 £50k plus benefits We’re hiring for a Data Scientist to join a high-growth, data-driven business where forecasting directly shapes commercial and operational decisions. This is a hands-on role for someone who thrives in pace, ambiguity and impact. You’ll be embedded with a small, high-performing team in the heart of the business, partnering with Sales, Marketing, Supply Chain and Finance to turn data into forecasts people actually rely on. 🔥 What you’ll be doing • Building and improving demand forecasting models across fast-moving product lines, • Using time-series methods, regression and applied ML to predict real-world demand, • Running scenario modelling around promotions, pricing and seasonality, • Analysing customer behaviour and commercial drivers to improve forecast accuracy, • Owning forecast performance — accuracy, bias, variance — and fixing what breaks, • Translating complex analysis into clear, commercial insights for planning and S&OP, • Working closely with Data & Platform Engineering to ship production-ready models 🧠 What we’re looking for • Educated to at least degree level in a relevant subject; Mathematics, Statistics, Machine Learning, Computer Science, Physics, Chemistry, Economics, Engineering etc., • 1–3 years’ experience as a Data Scientist in a D2C, ecommerce or consumer environment, • Strong foundations in forecasting and time-series analysis, • Hands-on with Python & SQL (Pandas, NumPy, Scikit-learn, Statsmodels), • Experience with Prophet, ARIMA and/or Gradient Boosting (XGBoost), • Comfortable working in fast-changing environments with imperfect data, • Clear communicator — able to influence both technical and commercial stakeholders 💥 Why this role stands out • Real ownership of models used in live business decisions, • Exposure to end-to-end forecasting, not just analysis in isolation, • A culture that values speed, learning and practical impact, • Exceptional leadership, inspiring peers Keywords: Data Scientist, Data Science, London, Demand Forecasting, Time Series, Python, SQL

Overview We build AI technology for the heavy industries. We are a real-world AI company: our AI systems are in factories right now making billions of dollars of decisions per year. We are growing rapidly through the seed-series A stage, being on track to increase bookings 5x YoY. We aim to take most of our initial market (steelmaking) in the next two years while launching in new industries at the same time. We are a world-class product and engineering org: our engineers work directly with customers and across the whole technology stack to iterate quickly in a fun, high-trust, but intense environment. Role We are now looking for a world-class candidate to lead Operations and Finance. This is a critical role as we scale from a team of <10 to >20, aggressively expand in the US across multiple industries, and deploy our recent $10m funding round. Some of the things you will do: • Continuously forecast our finances, reconcile them with performance, and use this to inform all major decision making including hiring and fundraising., • Help with our complex capacity planning and staffing needs: how to staff simultaneous complex enterprise projects when the scale is growing constantly, • Build and maintain a budget, and control our finances. This should not just be a routine practice but a strategic activity to reduce our costs without compromising our performance., • People: We have an excellent engine for sourcing and selecting the best engineering talent. You will run the practicalities of payroll, compensation, contracts, probations, terminations., • Fundraising and investor relations: you will play a key role in creating material for investors and interacting with them directly: reporting to current investors, board meetings, and pitching to future investors, • International ops (insurances, visas, etc). We travel globally to our customers. You will make sure our engineers are fully insured, have the right visas, and anything else they need to be successful. You will be strategic about this and own all the decision making: you need to see our emerging markets coming before they arrive and arrange all the practicalities so we are not slowed down. Similarly, you will run our international business administration: You will administer our entities abroad (e.g. American company), handle complex international tax implications, international employees, and decide the best approach to all related matters. Candidates We are looking for a candidate who run operations and finance without direction. • You will already have experience doing most or all of the responsibilities at a similarly sized startup. In principle we are open to a range of experience from just a couple of years up to many years, but your current job title might be finance manager, operations manager, VP, CFO or COO., • You are extremely disciplined, and can be a steady hand under your own direction while our product and engineering org pivots very rapidly and often., • You have a high mathematical aptitude so that you can model the business in spreadsheets and in your head. It’s not necessary but you might have studied economics, mathematics, or similar. You may also have some experience in investment banking or a similarly mathematical career track before pivoting to startups, • It’s also useful but not necessary if you have experience building automations. Simple scripts etc to automate the manual ops and finance jobs or build dashboards. For this role and all others, we are looking for people with the following attributes: • Exceptional ability. Whether in work, school, side projects, or elsewhere, you will have demonstrated exceptional ability. We are open minded about the exact form this takes. Some examples we look for:, • You have played a key role in an early stage startup, • You have won hackathons, music, sport, math or other competitions, • You have an impressive side project, like a popular blog or open source library., • Excellent communication in speech and writing., • Conscientiousness. You want to do good work, regardless of oversight., • You are excited to have freedom to work without too much process and friction, but at the same time, excited to share ideas and work closely with others., • You’re excited to work in the metals industries, and everything that goes with it. That means excited to travel, spend time in massive factories, meeting and working with a wide range of people., • You are comfortable working in uncertain and dynamic environments. Apply • We will do two or more telephone screenings. At least one will be with the CEO., • You will work on something real with the team.

Entity: Technology Job Family Group: IT&S Group Job Description: At bp, we are reimagining how our trading organisation uses technology to unlock new value, strengthen decision-making, and support a rapidly evolving energy landscape. As our Lead Solution Architect for Gas and Power Trading, you will guide the next generation of our trading platform—one that is modern, scalable, and built to meet the real-time demands of global commodity markets. This is a high-impact role where deep domain expertise meets modern engineering, and where your architectural leadership will shape bp’s capability for years to come. In this role, you will lead the end-to-end architecture of our bespoke energy trading solutions. We work closely with traders, product owners, market experts, and engineering teams, and you will bring these viewpoints together to create solutions that are both technically robust and aligned with business ambition. You will help us modernise our trading platform by applying contemporary design patterns, cloud-native engineering principles, and architectural thinking that supports performance, scalability, and future growth. Throughout the delivery lifecycle, you will provide guidance, ensure alignment across internal and external teams, and champion technical excellence. You will also play a central part in re-designing trading capabilities across front-, middle-, and back-office workflows, ensuring that every component—from deal capture to optimisation and reporting—works seamlessly together. Key areas of focus include: You will lead architectural direction for our trading systems, documenting key decisions, making thoughtful trade-offs, and ensuring that every design reflects both functional needs and technical strategy. You will translate complex requirements into solutions that are scalable, maintainable, and ready for real-world trading conditions. We depend on your practical knowledge of physical Gas and/or Power trading. You will act as a trusted advisor throughout delivery, supporting design reviews, guiding change initiatives, and helping our business teams understand how architecture decisions support their goals. You will work closely with product owners, developers, designers, data engineers, vendor partners, and consultants. Because our trading platform touches so many teams, clear communication and strong coordination will be essential to ensure smooth progress and shared understanding. You will apply strong knowledge of the energy trading lifecycle to ensure the solutions we build are robust, resilient, and ready for operational use. We follow Agile ways of working and promote DevOps and CI/CD practices—values that you will help reinforce across teams. * A degree in Computer Science, Engineering, Mathematics, or a related technical field. * Deep experience in physical Gas and/or Power trading, including contract optionality, optimisation, scheduling, and an understanding of full lifecycle trade processes. * Strong knowledge of options modelling and dependency graph concepts. * Hands-on experience designing modern trading systems using microservices, messaging, caching, and cloud-native patterns. Data Architecture: You bring strong experience designing data models for both transactional and analytical systems, understand reconciliation processes, and are familiar with real-time reporting, distributed caching, and unstructured databases such as MongoDB. Technical Architecture: You are confident with modern design patterns, AWS cloud services, C# or Java, containerisation (Kubernetes, Docker, OpenShift), and infrastructure-as-code tools such as Terraform. Familiarity with React for UI development is highly valuable. Integration Expertise: You understand real-time messaging such as AMQ, API design using JSON and Swagger, and batch processing methods commonly used in trading systems. Infrastructure & DevOps: You understand CI/CD workflows, Git-based repositories, automation tools such as Ansible, cloud infrastructure management, and grid computing approaches that support scalability and cost efficiency. * Strong analytical and problem-solving ability. * Ability to operate independently or within small agile teams. * Excellent communication skills—written, verbal, and visual. * Collaborative mindset and comfort working across multiple disciplines. * Experience applying Agile frameworks to complex technology environments. * Microservices architecture and containerisation * Cloud hosting (AWS strongly preferred) * Messaging and caching patterns * Full lifecycle understanding of physical energy trading (Gas and/or Power) This is an opportunity to influence one of bp’s most critical trading platforms and help shape how we build technology that supports real-time decision-making in fast-moving markets. You will work alongside talented engineers, market experts, and product teams who are passionate about solving complex problems in innovative ways. If you enjoy designing systems that push boundaries and want to make a meaningful impact—this role offers exactly that! We’re committed to fostering a diverse, equitable, and inclusive environment where every individual feels valued and supported. We welcome applicants from all backgrounds and will provide reasonable accommodations throughout the recruitment process. If you need adjustments at any stage, please let us know—we’re happy to help. Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Business modelling, Creativity and Innovation, Data Analysis, Data design, Digital Analytics, Emerging technology monitoring, Information Assurance, Integration, IT Management, IT strategy and planning, Network Design, Requirements definition and management, Risk Management, Service operations and resiliency, Solution Architecture, Systems Development Management, Technical specialism, User Experience Analysis Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

STEM Graduate | Harrow | Immediate Start All potential candidates should read through the following details of this job with care before making an application. Are you a recent STEM Graduate ready to take the first step in your education career? This is an exceptional opportunity for a STEM Graduate with a first-class degree to join an esteemed secondary school in Harrow as a Teaching Assistant. If you are a STEM Graduate passionate xwzovoh about science, technology, engineering, or mathematics and inspiring the next genera...

Havering Maths Academic Mentor Maths Support Role Ready to make your application Please do read through the description at least once before clicking on Apply. Location: Havering Contract: January 2026 July 2026 (Term-Time Only) Interviews: ASAP Are you a Maths graduate looking to gain experience in education? A well-regarded secondary school in Havering is seeking a Maths Academic Mentor to support students across xwzovoh the mathematics department. As a Maths Academic Mentor, youll work with pupils in KS3 to KS...

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The successful candidate will work closely with the department and the Head of Mathematics to develop the teaching of Mathematics at Queen’s College. We are seeking to appoint a well-qualified and inspirational classroom practitioner as teacher of Mathematics in a supportive and thriving departmen

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We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are an intellectually curious, forward-thinking software engineer who cares deeply about the impact of your work on both technology and the world. You’re passionate about building robust, scalable systems that help engineers and designers make smarter, more sustainable choices in materials selection. You thrive in collaborative, cross-functional teams and find satisfaction in tackling complex technical challenges. With a strong foundation in C# and the .NET framework, you understand the importance of writing clean, maintainable code and adhering to best practices. You’re eager to engage with stakeholders, value constructive code reviews, and welcome opportunities to learn from others as well as to mentor. Your communication skills enable you to translate technical concepts for both technical and non-technical audiences, and you are energized by the opportunity to work with geographically distributed colleagues. Above all, you are motivated by the opportunity to contribute to products that make a positive difference—products that help reduce environmental impact, support sustainability, and advance high-performance engineering. What You’ll Be Doing: • Collaborating with product stakeholders to gather, clarify, and refine technical requirements for Granta MI’s server-side components., • Designing, developing, and maintaining scalable backend solutions using C# and the .NET framework to extend the capabilities of our flagship materials information management system., • Performing rigorous code reviews, providing and receiving constructive feedback to ensure high code quality and maintainability., • Investigating, diagnosing, and resolving issues identified by QA or reported by users, ensuring robust and reliable performance., • Researching new technologies, methodologies, and best practices to continuously enhance product performance and sustainability features., • Writing automated tests and contributing to a culture of test-driven development and continuous integration., • Empowering engineers and designers to make more sustainable, environmentally friendly material choices through enhanced data management capabilities., • Contributing to the reduction of resource usage, pollution, and waste in product design by enabling smarter materials decisions., • Advancing the reliability, scalability, and user experience of Granta MI, the industry-leading materials information management platform., • Driving innovation in materials informatics, supporting the next generation of high-performance, sustainable products., • Collaborating with a global team to deliver solutions that have a direct, positive impact on manufacturing industries worldwide., • Bachelor’s degree in Computer Science, Physics, Mathematics, Engineering, or a related field., • Professional experience in software development, with a focus on backend or server-side engineering., • Strong technical proficiency in C# and a solid understanding of the .NET framework., • Experience with modern software development methodologies, including agile practices and test-driven development., • Demonstrated ability to write clean, maintainable, and well-tested code., • Effective communicator who can collaborate across functions and locations., • Detail-oriented and committed to high-quality results., • Analytical thinker with a problem-solving mindset and a passion for learning., • Adaptable, open to feedback, and eager to work in a fast-paced, innovative environment. You’ll join the Cambridge-based Materials Business Unit, a dynamic team dedicated to developing Granta MI—Synopsys’ flagship materials information management system. This multidisciplinary group brings together software engineers, materials scientists, and product experts, all united by a mission to deliver solutions that make a real difference in sustainability and product performance. Collaboration, continuous learning, and a shared passion for technology and environmental impact define how we work. Rewards and Benefits: • We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Role: Group Performance Engineer – Energy Package: £80,000 - £90,000 Location: UK Middlemore has been exclusively retained, to recruit for a senior performance engineering opportunity for an experienced power/thermal specialist to take ownership of boiler and turbine performance across a modern UK Energy from Waste fleet. This is a high-impact, data-driven role focused on measurable efficiency gains, working at group level rather than tied to a single plant. Role overview • Asset Management – performance owner for operational EfW assets, reporting into Group Asset Management leadership., • Group remit across multiple plants, leading asset performance, reliability and efficiency to deliver best-in-class asset performance and margin improvement. What you will be doing • Act as performance owner for boilers and turbines, materially influencing thermal efficiency, turbine efficiency and overall plant output across the EfW portfolio., • Lead the definition, monitoring and interpretation of asset KPIs, providing periodic performance and diagnostic reporting on critical plant assets., • Optimise combustion/boiler and turbine cycle performance, including fuel calorific value, thermodynamic performance and the knock-on impact of plant changes across the whole process., • Use and challenge thermodynamic, CFD and airflow models; verify outputs with independent calculations and plant data from DCS/SCADA and PI or similar historians, acting as custodian of data quality and reliability., • Lead or support performance tests, reconcile performance mismatches and translate plant performance into financial impact (margin and EBIT), educating operations teams on the “price of non‑conformance”., • Provide day-to-day performance engineering expertise to Operations, Maintenance and Engineering teams, and oversee an Assistant Performance Engineer who is more plant‑based., • Proactively identify and deliver improvement projects to increase efficiency, availability, reliability and safety, including feasibility studies, conceptual and detailed designs. In the first 12–18 months • Deliver targeted efficiency uplifts on boilers and turbines across multiple sites., • Optimise waste throughput within technical and environmental limits, improving overall plant output., • Reduce performance losses that impact margin and EBIT, embedding changes and new ways of working with site teams. What we are looking for • Degree-qualified engineer in Engineering, Physics, Mathematics or similar, ideally Chemical/Process or Power., • Strong track record in power/thermal plant performance (EfW, CCGT, biomass, coal, CHP or similar), with a deep grounding in thermodynamics, boiler operation, calorific value and turbine control logic., • High technical capability and comfort with performance modelling, data analysis and performance monitoring software, including advanced Excel and tools such as Power BI, SQL, Access or similar., • Experience working with plant efficiency data, energy production and performance monitoring software, including historians (e.g. PI) and DCS/SCADA data., • Strong interpersonal and stakeholder skills: able to command a room, influence operators and senior stakeholders and embed change through communication and gravitas rather than “pressing the buttons” yourself., • Proven leadership with the ability to guide an Assistant Performance Engineer, manage cross-functional work and contribute to budgets and commercial outcomes., • Minimum 3–5 years in a similar performance or process engineering role, ideally within the energy sector. Working pattern and environment • Hybrid role combining desk-based performance analysis with regular site presence for performance tests, investigations and support to site teams., • National travel to multiple UK sites as required for performance, commissioning and critical issue resolution., • Predominantly office/control-room and plant environment, with exposure to typical industrial conditions when on site. How to apply If you are a technically strong performance engineer who enjoys complex thermodynamic problem‑solving, data-driven decision-making and influencing operators and senior stakeholders, please get in touch for a confidential conversation and full brief.