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Hendon Preparatory School Pay: Up to £23,000 per annum, dependent on qualifications and experience Hours: 08:30 am to 4:30 pm - Monday-Friday Contract: Full Time - Term Time Only Start Date: September 2026 UK Based Applications Only About the School - Hendon Prep Hendon Prep is a warm, inclusive and nurturing independent preparatory school where every child is known, supported and encouraged to succeed. We pride ourselves on strong relationships, high standards of care, and a commitment to enabling pupils to develop academically, socially and emotionally. Our community values kindness, resilience and a love of learning. We offer a broad and engaging curriculum alongside a rich co-curricular programme, ensuring that children from Preschool through to Year 6 flourish and reach their full potential. Safeguarding and pupil wellbeing are central to all aspects of school life. Role Purpose Hendon Prep is seeking to appoint a dedicated and compassionate Teaching Assistant to support pupils across the school. This is a varied and rewarding role working with children from Preschool through to Year 6. Key Responsibilities include: • Support pupils within lessons to access learning and make progress, • Reinforce teaching delivered by the class teacher, • Promote pupils' confidence, independence and positive attitudes to learning, • Work collaboratively with teaching staff to adapt provision as required, • Contribute to a nurturing, inclusive and well-managed classroom environment The Successful Candidate: Qualifications • GCSE (or equivalent) in English and Mathematics — essential, • Relevant Teaching Assistant qualification — desirable, • SEND-related training — desirable Experience • Experience of working with primary-aged children (EYFS and/or KS1/KS2) — essential, • Experience supporting pupils with SEND — desirable, • Experience in a school or educational setting (mainstream or specialist) — desirable Knowledge and Skills • Sound understanding of the primary curriculum, • Ability to support pupils with a range of learning needs, • Ability to promote independence and engagement in learning, • Strong interpersonal and communication skills, • Ability to build positive and professional relationships with pupils and staff, • Good organisational skills and ability to manage workload effectively Hendon Preparatory School is committed to safeguarding and promoting the welfare of children and young people. All appointments are subject to enhanced DBS and social media checks. Early applications are encouraged as we reserve the right to close the vacancy early.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs, 2. Providing technical guidance and troubleshooting support throughout project delivery, 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies, 4. Acting as a trusted advisor to customers on industry trends and emerging technologies, 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts A day in the life About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Centre. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. • Experience as technical specialist in design and architecture, • Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis), • Experience in consulting, design and implementation of serverless distributed solutions, • Experience in cloud based solution (AWS or equivalent), system, network and operating system, • Experience in external or internal customer facing, complex and large scale project management, • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies, • Experience building large-scale machine learning and AI solutions at Internet scale, • PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems, • Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (_) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Lead Teacher of Maths & Assessment (SEND) | Southwark | September Are you an experienced SEND Teacher ready to take the next step into leadership? This Lead Teacher of Maths & Assessment opportunity offers the chance to shape curriculum, drive whole-school assessment practice and make a lasting impact within a highly respected specialist school in Southwark.This Lead Teacher of Maths & Assessment role is ideal for an ambitious teacher with a strong understanding of SEND education, Mathematics pedagogy and assessment for learning. The successful Lead Teacher of Maths & Assessment will join a specialist setting supporting pupils aged 1119 with a range of complex needs, including Autism, communication difficulties, physical disabilities and medical needs.What makes this Lead Teacher of Maths & Assessment role unique is the opportunity to influence practice beyond your own classroom. You will work closely with teachers, therapists and support staff to develop a Maths curriculum that promotes independence, confidence and real-world application, whilst leading a whole-school approach to assessment that genuinely informs teaching and learning.Inner London MPS/UPS + TLRWhat the school can offer a Lead Teacher of Maths & Assessment: A genuine leadership opportunity with responsibility across curriculum and assessmentSmall class sizes and highly personalised teaching approachesExtensive collaboration with therapists, support staff and external professionalsA well-established and highly regarded specialist provisionHigh-quality CPD and leadership development opportunitiesThe opportunity to shape whole-school teaching and assessment practiceA supportive and experienced leadership teamA role where the impact of your work is visible every dayThe successful Lead Teacher of Maths & Assessment will: Hold UK QTSHave experience teaching within a SEND or inclusive settingDemonstrate strong Maths pedagogy, including functional Maths and small-step learning approachesHave experience using assessment effectively to improve pupil outcomesBe confident leading and supporting colleagues across the schoolMaintain high expectations for all pupils regardless of need or starting pointBe committed to inclusion, collaboration and continuous improvementYour responsibilities as Lead Teacher of Maths & Assessment will include: Leading Mathematics across the schoolDriving the development of assessment systems and practiceSupporting staff with curriculum planning and deliveryMonitoring pupil progress and outcomesWorking alongside therapists and wider professionals to support learningContributing to whole-school improvement prioritiesDeveloping staff confidence in Maths and assessment practicesPromoting the highest standards of teaching and learning across the schoolIf you are looking for a Lead Teacher of Maths & Assessment role where you can combine leadership, specialist teaching and meaningful school improvement, this is an exceptional opportunity within a highly respected Southwark SEND school.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 Lead Teacher of Maths & Assessment role, in Southwark. For other roles like this, check out our website, search Ribbons & Reeves. We look forward to supporting you in your application to this Lead Teacher of Maths & Assessment role.Lead Teacher of Maths & Assessment (SEND) | Southwark | September | INDTEACHTPBN1_UKTJ

Unqualified Maths Teacher Haringey September 2026 About the School This high-achieving secondary school in the London Borough of Haringey is rated Good by Ofsted and is recognised for its rigorous Mathematics curriculum, strong academic culture, and genuine commitment to developing talent at every level. The school actively supports the growth of every Unqualified Maths Teacher who joins with the ... ZIPC1_UKTJ

Maths Teaching Assistant Enfield September 2026About the SchoolThis high-achieving secondary school with sixth form in the London Borough of Enfield is rated Good by Ofsted and is recognised for its rigorous Mathematics curriculum, strong academic culture, and genuine commitment to ensuring every pupil reaches their full mathematical potential. The school has a thriving Maths department and a culture where every Maths Teaching Assistant is treated as an integral and valued member of the teaching and learning team.Maths Teaching Assistant - What the School OffersSubject-specific CPD and training tailored to Maths classroom support and tutoring deliveryAccess to Maths Hub resources and departmental planning to inform and strengthen support sessionsA structured induction with dedicated mentoring from experienced Mathematics practitioners from day oneA collaborative, supportive department culture where every Maths Teaching Assistant is genuinely backedStrong potential for teacher training pathways or extended contracts for high-performing staffMaths Teaching Assistant - What the Role InvolvesSupporting Mathematics teachers across KS3 and KS4 to deliver structured, engaging lessonsDelivering targeted one-to-one and small-group Maths tutoring sessions to pupils working below expected levels or preparing for GCSE examinationsUsing formative assessment to identify gaps in understanding and adapt tutoring sessions accordinglyTracking individual pupil progress and feeding back regularly to the class teacher and Head of MathsBuilding consistent, motivating relationships with pupils to develop their confidence and resilience in MathematicsMaths Teaching Assistant - What the School is Looking ForThe ideal Maths Teaching Assistant will hold a 2:1 or 1st Class degree from a top 30 UK university, ideally in Mathematics, a STEM subject, or a numerate discipline. Previous child-centred experience in a UK educational setting is highly valued. The school is seeking a proactive, patient, and mathematically strong Maths Teaching Assistant with excellent communication skills and a genuine passion for helping young people succeed in Maths.Please note, applicants must have the legal right to work in the UK, as we are unable to offer visa sponsorship for this position.Maths Teaching Assistant - Salary and Contract Info£450 to £550 per week, pro rata to term time onlyFull-time, long-term contract from September 2026 to July 2027Term-time onlyPotential for extended contracts or teacher training pathways following a successful placementIf you are a mathematically confident graduate looking to make a genuine difference to pupils' attainment and confidence in a thriving Enfield school, this Maths Teaching Assistant role - with its dedicated tutoring element - is an excellent opportunity to build a meaningful and rewarding career in education.Ribbons & Reeves is one of London's leading Education Recruitment agencies. We specialise in helping support staff secure long-term and permanent roles like this Maths Teaching Assistant position in Enfield. For more opportunities, search 'Ribbons & Reeves' online or get in touch today - we're here to support your next step.Maths Teaching Assistant | September 2026 | INDSUPTPBN1_UKTJ

STEM Tutor | Lewisham | SeptemberAre you a high-achieving STEM graduate looking to gain classroom experience before pursuing teacher training or a career in education? This STEM Tutor opportunity is based within a thriving Lewisham secondary school and offers the chance to support pupils across Mathematics, Science and wider STEM subjects.This STEM Tutor role would suit a graduate with a strong academic background who is passionate about raising attainment and inspiring pupils to pursue STEM pathways. The successful STEM Tutor will deliver interventions, support classroom learning and help pupils prepare for GCSE examinations.STEM Tutor (Contract) September 2026Weekly Pay | £500£550 per weekWhat the school can offer a STEM Tutor: Experience supporting pupils across Maths and Science departmentsOpportunities to deliver intervention and booster programmesSupport from experienced subject leaders and teaching staffAccess to STEM enrichment projects and extracurricular activitiesExcellent preparation for future teacher training applicationsA structured and ambitious school environmentStrong behaviour systems and supportive leadershipValuable classroom experience throughout the academic yearThe successful STEM Tutor will: Hold strong A-Levels (or equivalent qualifications) and a BA degree in a STEM subjectBe academically strong and confident supporting secondary pupilsHave excellent communication and interpersonal skillsBe enthusiastic about education and pupil achievementHave aspirations to progress into teaching or educationIf you are looking for a STEM Tutor role that provides meaningful school experience within a high-performing Lewisham secondary school, this is an excellent opportunity from September 2026.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 STEM Tutor role, in Lewisham. For other roles like this, check out our website, search Ribbons & Reeves. We look forward to supporting you in your application to this STEM Tutor role.STEM Tutor | Lewisham | September | INDSUPTPBN1_UKTJ

Pre-Preparatory Teacher - QTS (3-7 years old)Location: Essex - Buckhurst Hill (Greater London fringe)Salary: £45,000-£60,000 (dependent on experience)Start date: September 2026Full-Time | Permanent | Independent SchoolThe Opportunity -An exciting opportunity has arisen for talented and committed teachers to join a new independent preparatory school opening September 2026 in Essex. The school will provide a high-quality, academically ambitious education for children aged 3-7, with a strong emphasis on language development, character education, and a broad, knowledge-rich curriculum.This role offers the chance to be part of a founding teaching team, contributing to the development of the school's ethos, curriculum, and classroom culture from the outset.KeyResponsibilities:Deliver engaging, well-structured lessons across the Early Years Foundation Stage and/or Key Stage 1Create a calm, positive and purposeful classroom environmentSupport pupils' academic progress and personal developmentFoster independence, curiosity, and confidence in young learnersMonitor and assess pupil progress effectivelyWork collaboratively with colleagues to ensure consistency and quality of provisionMaintain high standards of professionalism and safeguardingCandidate Profile -We are looking for individuals who:Hold QTS or EYTS (essential)Have experience teaching within EYFS and/or KS1 settingsDemonstrate strong knowledge of child development and effective teaching practiceAre reflective, motivated, and committed to delivering high standardsAre enthusiastic about contributing to a growing school communityBring a positive, professional, and nurturing approach to teachingSpecialisms in subjects such as English, Mathematics, Science, PE, Art, or Languages are welcomed but not essential.Desirable:Experience within the independent sectorPostgraduate qualifications (e.g. Master's degree)What's on OfferCompetitive salary package (£45,000 - £60,000 DOE)Opportunity to join a new and growing school at an early stageSmall class sizes and a supportive working environmentScope for progression and professional developmentSafeguarding -The school is committed to safeguarding and promoting the welfare of children and young people. All appointments will be subject to enhanced DBS checks and satisfactory references.Please apply below and reach out to Aamir Malik at Hays Education at or 0207 259 8770 to register your interest.Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.ukTPBN1_UKTJ

Mathematics graduate teaching assistant opportunities in Ealing Are you a committed professional looking to start your career in education? • Mathematics graduate teaching assistant opportunities in Ealing, • Immediate interview, • Outstanding High School in Ealing with excellent support An outstanding school in Ealing is seeking dedicated graduate Teaching Assistants to join our team. Rated 'Outstanding' by ... ZIPC1_UKTJ

First-Class STEM Graduate | Tower Hamlets, London Are you a First-Class STEM Graduate with a desire to make a real impact in the classroom, inspiring young minds to excel in Science, Technology, Engineering, and Mathematics? Join a high achieving Secondary School in Tower Hamlets as a First-Class STEM Graduate, where You will play a key role in supporting students academic progress, particularly i... ZIPC1_UKTJ

Maths Teaching Assistant Richmond SeptemberAre you a high-achieving graduate with a passion for Mathematics and education? A highly regarded secondary school in Richmond is seeking a dedicated Maths Teaching Assistant to join their successful team from September.Located on a modern purpose-built campus overlooking the Thames, this oversubscribed secondary school educates over 1,400 pupils and has established a reputation for excellent academic achievement, outstanding pastoral care and exceptional sixth form provision. With a growing SEN cohort and over 15% of pupils receiving additional support, this is an excellent opportunity for an aspiring teacher to gain invaluable classroom experience as a Maths Teaching Assistant .Maths Teaching Assistant role starting in September on a full-time contract£110 per day with excellent long-term progression opportunitiesOutstanding CPD, mentoring and teacher training pathways availableOpportunity to secure a permanent position following a successful placementWork alongside experienced Maths teachers and supportive senior leadersMaths Teaching Assistant will provide 1:1 support and small-group interventions across KS3 and KS4Fantastic opportunity for a Maths Teaching Assistant considering a future career in teachingSchool achieves consistently strong GCSE and A-Level outcomes, with Maths performing above national averagesBased in Richmond with excellent transport links and modern facilitiesMaths Teaching Assistant will support pupils of varying abilities, including those with SEN and EHCPsGain experience delivering targeted interventions to improve attainment and confidence in MathematicsA 2:1 or First-Class degree in Mathematics or a related subject is essential for the Maths Teaching Assistant rolePrevious tutoring, mentoring or school-based experience is desirableStrong communication skills, resilience and enthusiasm are key attributes for a successful Maths Teaching AssistantJoin a welcoming and ambitious school community in the heart of RichmondThis Maths Teaching Assistant opportunity offers exceptional preparation for teacher training and educational careers.Ribbons & Reeves are Londons leading Education Recruiters. We specialise in helping educators of all levels secure long-term and permanent roles, such as this Maths Teaching Assistant in Richmond. For other roles like this, check out our website, search Ribbons & Reeves. We look forward to supporting you in your application to this Maths Teaching Assistant role.TPBN1_UKTJ

Safety Systems Assurance & Risk ConsultantHybrid Working from London, Manchester, Leeds, Bristol or Nottingham£80,000 - £90,000 Salary + Excellent Benefits packageLead Safety & Risk on the Rail Programmes Defining the Next Generation of TransportAn internationally respected engineering and advisory organisation is seeking a senior Rail Safety & Risk specialist to play a leading role in the delivery of major transportation and infrastructure programmes across the UK and Europe.This opportunity is ideal for an experienced consultant or technical leader with deep expertise in rail systems assurance, operational risk, and complex infrastructure delivery - someone who thrives on solving challenging technical problems while influencing strategic outcomes at programme level.You will join a high-performing multidisciplinary practice recognised for delivering complex, high-profile projects across mobility, infrastructure, sustainability, and digital transformation sectors.The RoleYou will provide leadership across rail system safety, assurance, and risk management activities throughout the full project and asset lifecycle - from early concept and strategic planning through to operational change, integration, upgrade, and ongoing assurance.The role combines technical authority, client leadership, commercial awareness, and team development. You will guide clients through both established regulatory environments and emerging technology challenges, balancing rigorous compliance with pragmatic engineering judgement.The work spans a wide range of rail and transport systems, including:Digital signalling and train control technologiesMajor rail infrastructure and operational systemsCommunications and control networksRolling stock integration and modificationOperational readiness, maintenance, and system changeCross-disciplinary and system-of-systems assuranceYou will also support programmes involving evolving technologies and future mobility concepts, including:Digital and data-enabled railway systemsAutomation and advanced operational support technologiesLow-carbon and alternative traction strategiesClimate resilience and infrastructure adaptationNovel operational models and emerging transport architecturesWhat You'll Be DoingTechnical LeadershipDirect delivery of complex rail safety and assurance programmesLead development of safety cases, assurance strategies, and hazard management activitiesApply advanced safety engineering methodologies including HAZID, HAZOP, FMECA, FTA, and structured risk analysis techniquesProvide technical oversight on projects involving significant operational, regulatory, or technological complexityCoordinate engagement with independent assurance bodies and regulatory stakeholdersClient & Programme LeadershipBuild trusted relationships with senior client teams and delivery partnersAdvise on safety strategy, programme risk, and assurance planningSupport informed decision-making within technically complex or uncertain environmentsHelp shape innovative yet proportionate approaches to assurance and complianceCommercial & Strategic ContributionSupport business growth through bids, proposals, and strategic client engagementContribute to resource planning and commercial performance across projectsHelp expand capability in rail systems assurance and operational risk managementTeam & Capability DevelopmentMentor and coach technical specialists and developing consultantsEncourage innovation, collaboration, and knowledge sharingSupport recruitment and long-term capability growth within the practiceAbout YouYou will be an established rail safety professional with strong technical credibility and the ability to lead confidently within multidisciplinary project environments.Likely Background & Experience:Chartered Engineer status (or equivalent) with membership of a recognised professional institution such as the Institution of Engineering and Technology, Institution of Mechanical Engineers, or Safety and Reliability SocietyDegree-qualified in engineering, science, mathematics, or a related disciplineStrong track record delivering rail safety assurance and systems risk programmesExperience developing safety justifications and lifecycle assurance strategiesStrong understanding of UK and European rail assurance frameworks and standardsExperience working with independent assessors, assurance bodies, and evidence-based compliance activitiesExcellent stakeholder engagement and workshop facilitation skillsTechnical expertise within signalling, digital railway, telecoms, infrastructure, rolling stock, operational safety, or systems integrationAdditional European language capability would be beneficial but is not essential.Why This Opportunity?This organisation is widely recognised for tackling technically demanding and socially significant infrastructure challenges. Their teams are known for combining engineering excellence with forward-thinking advisory capability across major transportation programmes worldwide.You'll benefit from:Exposure to nationally significant and internationally recognised projectsA highly collaborative and technically respected environmentGenuine influence over complex infrastructure outcomesLong-term career progression within a global consultancy platformFlexible hybrid working and an excellent overall packageInterested?If you are looking for a senior-level opportunity where you can influence the future of rail safety, systems assurance, and infrastructure resilience within a world-class consultancy environment, we would be pleased to discuss the role confidentially.Services advertised by Gold Group are those of an Agency and/or an Employment Business.We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.TPBN1_UKTJ

Job Title: Distinguished Quantitative Engineer – Exotic Derivatives Location: London, UK (Hybrid) Duration: 12 Months+ Extendable contract • Looking for a highly senior hands-on Quantitative Engineer / Quant Developer with strong experience in Exotic OTC Derivatives pricing and risk modelling. This is a pure hands-on individual contributor role and not suitable for managerial, architecture-only, or research-focused candidates., • Should have around 15–20+ years of experience in quantitative development with strong exposure to production-grade pricing libraries, risk engines, calibration frameworks, and exotic payoff models across asset classes such as Equity, Rates, FX, and Commodities., • Need someone who can independently write pricing algorithms, validate quantitative outputs, and explain the mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards and supporting client-facing validation documentation., • Strong Java experience is required because the team works primarily in a Java-based environment., • Specifically need someone who understands both quantitative modelling and high-performance engineering., • Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. Many quants focus only on model correctness and ignore performance considerations, whereas this role requires both numerical accuracy and production efficiency., • Candidates from organizations or platforms such as Murex, Calypso, Numerix, or similar derivatives pricing environments will be highly preferred because of their exposure to institutional pricing libraries and OTC market conventions., • The candidate should have deep understanding of exotic derivatives, OTC market behaviour, pricing conventions, curve frameworks, sensitivities, calibration techniques, stress testing, and real-world quantitative modelling constraints. Strong experience with Monte Carlo methods, PDE approaches, tree/lattice models, and advanced numerical techniques is expected., • The current team consists of quant developers in the US, a product-side quant resource, a London-based contractor, and a broader engineering team handling architecture and platform development. This hire will mainly focus on strengthening the quantitative modelling and pricing validation capability., • The interview process is expected to have three stages, including an initial screening, discussion with the Product Lead, and technical discussions with other quantitative team members. There is currently no confirmed coding assessment, but interviews will strongly focus on depth of quantitative knowledge, production ownership, and ability to explain personally built models in detail., • The hiring manager clearly mentioned that they prefer Quant Developers or Quant Engineers over pure Quant Researchers. Academic-only profiles or candidates without strong production ownership will not be suitable for this role., • Candidates with a Master’s or PhD in Mathematics, Physics, Engineering, Computer Science, or related fields are preferred. However, strong commercial experience can compensate for the absence of a PhD., • Preferring candidates to work onsite at least two days per week, ideally on Tuesdays and Thursdays for collaboration purposes.

Job Description: Data Engineer Location: London/Hybrid – Office two+ days per week We’re hiring data engineers who want to take ownership in a fast-scaling startup About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. Data Engineer This data engineer role will play a key role in helping us improve the production quality of our software as we scale. Our software offering has a significant financial impact for our clients and needs to be outstanding for our clients to get value. As an early joiner, the Data Engineer role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is scaling our infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on • Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes., • Improving and adapting our data infrastructure and code base as we scale – including collaboration, security, scalability, efficiency, automation and auditability., • Interacting with new clients on client pitches, and working with existing clients to onboard our software, offering engineering and pricing expertise. Essentials: • Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Computer Science, Mathematics or Engineering), • At least 2 years’ experience working as a data engineer (ideally consulting / financial services) – salary and level will reflect experience., • Proficiency in Python (pandas, numpy), • Professional experience with Azure cloud services (AWS / GCP acceptable with deeper experience), • Strong experience deploying clean, maintainable, production-level code., • Basic understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration It would be nice if you could bring (desirables): • Professional experience with PySpark, MySQL, Docker, Kubernetes, • Experience with best-practice pipeline orchestration software (Airflow, Dagster)., • Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code, • Owned a project across a whole software product lifecycle, from data infrastructure, to model development and deployment, to front-end integration, • Experience of pricing analytics and/or optimization ideally in retail banking, • Experience in producing PowerPoint presentations / reports and presenting to clients or colleagues, • Willingness to get involved in all parts of the business – we are a small company so we all wear many hats, • An entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact Tech stack: • Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client’s needs)., • Backend – We develop all our code in Python, • Front-end – MySQL and jQuery/React What we offer • A highly competitive salary, • A genuinely compelling profit share scheme, with the potential to own a significant stake in the business, • Equity options that deliver significant gains if the company is acquired, • Flexible working hours, • “Work anywhere” for up to two months a year, • A significant opportunity to grow quickly with regular performance-based promotions and pay increases, • 25 days per year holiday allowance, increasing by one day per year after two years’ service to 30 days Other • We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered, • Successful applicants should be willing to work in London up to two days a week and should be willing to travel to clients occasionally

Senior Market Risk Analyst Central London Fully Office-Based £40,000 per annum The Opportunity We are seeking a motivated and analytical Senior Market Risk Analyst to join a dynamic Middle Office team based in Central London. This role offers an excellent opportunity for a candidate with strong market risk reporting experience and advanced Excel skills to support the production, analysis and enhancement of market risk management information and reporting across a wholesale banking environment. Working closely with senior stakeholders and Head Office teams, you will play a key role in ensuring the delivery of accurate market risk reporting, supporting business decision-making, and driving continuous improvement and automation initiatives. Key Responsibilities • Consolidate data from multiple systems and platforms to produce accurate market risk reporting., • Prepare and deliver timely market risk reports, metrics and management information., • Ensure the production of accurate, error-free MI for senior stakeholders., • Analyse market risk reporting outputs and provide commentary on trends, observations, gaps and mitigation actions., • Support business decision-making and change initiatives through risk analysis and reporting., • Liaise with Head Office teams and internal stakeholders to satisfy compliance and reporting requirements., • Identify opportunities for process improvement, efficiency gains and reporting automation., • Investigate reporting anomalies and escalate issues where appropriate., • Contribute to the development and maintenance of departmental procedures and technical documentation., • Support ad-hoc projects and analytical tasks as required by the Head of Middle Office.Skills & Experience Required, • Degree or postgraduate qualification in a numerate discipline such as Finance, Economics, Mathematics, Statistics, Engineering or a related field., • Previous experience within Market Risk, Treasury, Risk Reporting, Middle Office or a similar analytical function., • Strong understanding of market risk concepts including:, • Money Markets, • Foreign Exchange (FX), • Bonds, • Derivatives, • Liquidity Risk, • Advanced Microsoft Excel skills, including:, • Complex formulas, • Pivot Tables, • Data analysis, • Macros, • VBA, • Strong analytical and problem-solving capabilities., • Excellent attention to detail and commitment to data accuracy., • Strong communication skills with the ability to engage effectively with senior stakeholders.Personal Attributes, • Methodical and organised approach to planning and prioritisation., • Self-motivated, proactive and able to work independently., • Strong sense of ownership and accountability., • Able to manage multiple priorities and meet deadlines in a fast-paced environment., • Continuous improvement mindset with a focus on enhancing reporting and processes.Key Stakeholder Relationships You will work closely with teams across: • Middle Office, • Risk, • Treasury, • Settlements, • Investments, • Compliance, • IT, • Internal Audit, • Senior Management, • Head Office FunctionsPackage, • £40,000 per annum, • Central London location, • Fully office-based working environment, • Opportunity to develop expertise within a specialist Market Risk and Middle Office function If you have strong analytical skills, advanced Excel expertise, and a keen interest in market risk, we'd be delighted to hear from you.

Vacancy Fitter/Welder Location: ReFood Dagenham Hours: Permanent Full time Monday to Friday Join ReFood Dagenham and Help Drive Continuous Improvement ReFood is a leading food waste recycling and renewable energy company, transforming food waste into sustainable energy and valuable resources. We are looking for a skilled and motivated Fitter / Welder to join our Dagenham site. This is an excellent opportunity for an experienced fabricator and welder who enjoys working in a heavy industrial environment and wants to expand their mechanical engineering knowledge. We invest heavily in training and development, offering opportunities to gain additional qualifications such as Confined Space Entry, Plant Operations, and other specialist competencies. Working closely with the Engineering Team, you will be responsible for measuring, fabricating, assembling, and welding stainless steel and low carbon steel (LCS) pipework, frameworks, flanges, and associated components to required specifications. You will also support maintenance activities across the site while contributing to our culture of continuous improvement. Weekend working and overtime may occasionally be required to support high-priority maintenance activities. Any overtime will be agreed in advance with your manager. Key Responsibilities • Read and interpret technical drawings, blueprints, and specifications, • Measure, cut, shape, and prepare metal materials for fabrication, • Assemble and align fabricated components to ensure accurate fit and functionality, • Perform TIG, MIG, and Arc welding to a high standard, • Inspect completed work to ensure quality, accuracy, and compliance with specifications, • Repair damaged metal structures, machinery, and equipment components, • Safely operate hand tools, power tools, and workshop equipment, • Follow all Health & Safety procedures and site requirements, • Support maintenance and repair activities across the plant, • Assist with general workshop duties when required, • Identify opportunities for plant modifications and continuous improvement initiatives to improve reliability, quality, and reduce downtime What We're Looking For Essential • Welding qualifications with valid certification, • Experience working within a heavy industrial environment, • Strong understanding of Health & Safety requirements, • Strong written and verbal communication skills, • Ability to work independently and as part of a team, • Self-motivated, organised, and proactive approach, • Ability to work under pressure and prioritise workload effectively, • Basic education including English and Mathematics Desirable • Experience welding stainless steel pipework up to 6", • Plant operation experience (Forklift Truck, MEWP), • Experience using maintenance data and logging systems for Planned Preventative Maintenance (PPM), • Knowledge of Lean Manufacturing principles including 5S/6S and 5 Why methodologies, • Experience within manufacturing, recycling, or waste processing environments, • Experience preparing formal documentation, • General IT skills, • Strong mechanical fault-finding abilities What's on Offer • Competitive salary and overtime opportunities, • Extensive training and development investment, • Opportunity to gain additional qualifications and certifications, • Exposure to broader mechanical engineering disciplines including bearings, gearboxes, pumps, and rotating equipment, • Supportive team environment focused on continuous improvement, • Long-term career development within a growing renewable energy business If you are a skilled Welder/Fitter looking to develop your career within a progressive and environmentally focused organisation, we'd like to hear from you.

Exposure Management AnalystLocation: City of London (Hybrid)Are you a data-savvy professional or a high-calibre graduate looking to build a career in insurance analytics? We are an established insurance and reinsurance company seeking an Exposure Management Analyst to join our growing Modelling team.In this role, you will analyze portfolio exposures using a variety of vendor and internal models. You will play a key part in helping the exposure management team develop, refine, and set up cutting-edge processes and systems that directly impact our underwriting strategies.Key Responsibilities- Underwriting Support: Provide high-quality exposure reports to underwriters, enabling accurate risk-taking decisions and ensuring all data is precisely captured.- Data & Model Management: Manipulate and input exposure data into industry-standard catastrophe modelling software (e.g., Moody's RMS).- Portfolio & Variance Analysis: Run and monitor Exceedance Probability (EP) and internal aggregate model outputs, conducting extensive portfolio reviews.- Stakeholder Collaboration: Manage the data flow process by liaising with underwriting units, communicating modeled numbers, and highlighting model changes or updates.- Reporting & Compliance: Assist with regular internal and external market reporting, including quarterly loss estimates, aggregate reporting, and post-event loss analysis.- Innovation & Development: Utilise and help develop internal proprietary models, participating in ad-hoc projects to expand our overall Exposure Management capabilities.Experience & Qualifications- Education: A minimum of a 2:1 (second-class honours) degree, ideally in a highly numerate or related field (e.g., Mathematics, Statistics, Geography, Data Science), or equivalent experience.- Experience: Ideally 1 to 2 years of experience within an Exposure Management or Catastrophe Modeling team (experience with Property/Specialty Treaty or Direct & Facultative is a plus). High-quality, driven graduates will also be highly considered.Technical Skills- Strong computer literacy, with working knowledge of Microsoft 365, Excel, Power BI, and Access.- Familiarity or experience with Moody's RMS and SQL is highly desirable.- A foundational understanding of the key principles of catastrophe insurance, loss modeling, and risk aggregation.Core Competencies- Analytical Mindset: Exceptional numeracy skills with the ability to handle, manipulate, and analyse large, complex datasets.- Communication: Excellent verbal and written communication skills to effectively translate complex data for internal and external stakeholders.- Adaptability: A flexible approach to work, with the ability to adapt to changing regulatory requirements, new business classes, and shifting priorities.- Drive & Teamwork: Ability to work collaboratively within a team while managing your own time effectively to meet tight deadlines under your own initiative.- Compliance & Risk Management: Maintain a strong commitment to industry standards, corporate risk frameworks, and relevant financial conduct and prudential regulatory rules.

Junior Management Accountant Location: LondonContract: Full-time, Temp to PermanentSalary: £42,000 Asap start date! Veritas Education is working in partnership with a forward-thinking Multi-Academy Trust to recruit an experienced Junior Management Accountant. This is an excellent opportunity for a finance professional who is passionate about education and keen to play a key role in ensuring long-term financial sustainability and value for money across the Trust. The Role Reporting to the Director of Finance, the Management Accountant will provide high-quality financial support to Headteachers, Trustees and senior leaders. You will take ownership of budgeting, forecasting and management reporting, while supporting strategic financial decision-making across multiple schools. Key Responsibilities • Support the annual and three-year budget-setting process across all schools in the Trust, • Produce monthly forecasting and variance analysis, investigating and explaining key variances, • Prepare termly management reports for Trustees and Governor meetings, • Lead on benchmarking, financial metrics and investment appraisals, • Monitor income and expenditure consistency and provide guidance to finance teams, • Salary, payroll and pension reconciliations, • Fixed asset accounting, capital grant monitoring and asset register management, • Support statutory accounts preparation and ESFA returns (BFR, BFRO, AAR), • Deputise for the Director of Finance when required, • Line manage and develop finance staff, delivering a high-quality finance servicePerson Specification Essential: • GCSE Mathematics and English (Grade C/4 or above), • Part-qualified CCAB accountant or fully qualified AAT, • Minimum of 5years' accounting experience, including:, • Budget setting and monitoring, • Management accounts production, • Financial statements and reconciliations, • Strong Excel skills (pivot tables, lookups, logical and mathematical formulas), • Excellent analytical skills with strong attention to detail, • Ability to influence and challenge senior leaders, • Proven experience working to deadlines under pressure Desirable: • CCAB fully qualified accountant, • Experience within education or the charity sector, • Knowledge of academy financial frameworks and ESFA requirements, • Knowledge of VAT, PAYE, pensions and company/charity legislation, • Experience leading and managing staff and implementing changeWhy Apply?, • Opportunity to work within a values-driven education environment, • Strategic role with real influence on organisational sustainability, • Supportive senior leadership and collaborative finance team, • Career development and progression opportunities APPLICATION REQUIREMENTS FOR VERITAS EDUCATION • All applications are subject to an Enhanced DBS Disclosure, professional reference checks, Overseas Police Clearances (if applicable) in line with our stringent safeguarding policy, • Your CV must cover the last 10 years of employment history where possible and all employment breaks must be explained, • You must have legal right to work in the UK, • You must be willing to attend a registration interview Veritas Education work with a variety of schools covering a wide geographical area. We deal with teaching placements at Primary, Secondary and college level as well as support staff positions also within these. Disclaimer 'Nothing within the above advert was in any way designed or intended to discriminate on the grounds of age, gender, race, colour, religion, disability or sexual orientation. Veritas Education is an Equal opportunities employer and is proud in the knowledge that all placements are made on merit and suitability. We accept applications from all sections of the community.'

We work with a range of UK employers actively hiring across these roles. Job Description: UK-Based (On-Site, Hybrid or Remote) About the Role We're looking for talented Quantitative professionals at all levels—from Quantitative Analyst and Quantitative Researcher through to Quant Developer, Quantitative Risk Analyst and Senior / Lead Quant—for upcoming roles across the buy-side, sell-side, risk and fintech. This is where serious mathematics, programming and financial markets meet: you'll build the models that price instruments, manage risk and find the edge. You'll work across the full quantitative lifecycle—from research and model development through to implementation, validation and production. The role suits someone who pairs genuine mathematical and statistical depth with strong software engineering and the intellectual honesty to know exactly what a model can and can't be trusted to do. Key Responsibilities • Develop, test and implement quantitative models—pricing, risk, signal / alpha or execution, • Apply statistical and machine learning methods to financial and market data, • Build and maintain pricing and valuation models across one or more asset classes, • Develop risk models—VaR, stress testing, scenario analysis, market and credit risk, • (Buy-side) Research signals, develop strategies and run rigorous backtesting, • Productionise models in robust, well-tested code, • Work with large financial and market datasets and the pipelines behind them, • Validate models, document methodology and support model risk and governance, • Partner with traders, portfolio managers, risk teams and technology What You'll Bring Technical Expertise: • Strong programming skills—Python (NumPy, pandas, scikit-learn) and / or C++, R, q/kdb+, SQL, • Solid mathematics and statistics—probability, stochastic calculus, linear algebra, optimisation and time-series analysis, • Machine learning where it's applied to genuine financial problems, • Financial markets knowledge—instruments, pricing and risk across one or more of equities, FX, rates, credit, derivatives or crypto, • Discipline in modelling, backtesting and validation, • Big data and cloud tooling is a plus A note on background: this lane overlaps heavily with data science and ML engineering—if you're a strong Data Scientist or ML Engineer with the mathematical depth and an appetite to move into financial markets, we'd genuinely welcome the conversation. Analytical & Soft Skills: • Analytical rigour and intellectual honesty about model assumptions and limits, • Communication—able to explain a model to non-quant stakeholders, • A research mindset and real curiosity, • Strong attention to detail and a healthy risk awareness, • Collaborative approach across desks, risk and technology Domain Flexibility: • Roles span hedge funds and asset managers (buy-side), banks (sell-side), risk functions, trading firms and quant-driven fintech, • Background in any of these is welcomed; appetite to learn an adjacent asset class or desk valued just as much Experience Level: • Minimum 2+ years for Quantitative Analyst, 5+ for Senior, 8+ for Lead / Principal, • An MSc or PhD in a quantitative discipline (mathematics, physics, statistics, computer science, engineering or financial engineering) is common; CFA or CQF a plus, • Examples of models, strategies or risk frameworks you've developed and taken into production What We Offer • The opportunity to work where quantitative rigour translates directly into pricing, risk and returns, • Exposure to modern quantitative tooling, large financial datasets and production model environments, • Roles at the level you're ready for—we're hiring across the full quant spectrum, • A collaborative environment where mathematical depth and engineering craft are both valued, • A genuine bridge for strong data and ML talent looking to move into financial markets, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture Job Type: Full-time Benefits: • Flexitime, • Work from home

Overview The aim of the Bank is to deliver tailored lending solutions to asset managers and their funds. Its primary objective is to drive “bundled” business for the Group by complementing traditional lending with off-balance sheet, revenue generating services such as Fund Administration. The team focuses primarily on Subscription Finance and select Net Asset Value (NAV) lending structures. Team responsibilities range from credit analysis, deal structuring and negotiation with internal and external clients, legal documents review, portfolio monitoring, and the preparation and presentation of credit approvals. Hybrid working - The job holder is required to attend the office regularly with anticipated 2-3 days weekly office attendance. There is also plenty of opportunity to work from home, for which equipment will be supplied Purpose The role is responsible for loan administration, credit monitoring and administration and supporting credit risk management for the fund finance portfolio. The role emphasises accurate loan processing compliance and developing insightful credit analysis to aid decision-making and support client relationships. Key Responsibilities Loan Administration - Process client loan drawdown and repayment requests, verifying requested amounts against borrowing bases Monitoring - Conduct basic portfolio monitoring, including checks on collaterals, investors, covenants and facility fees, etc. recording results in tracking databases, management sheets or investor listings. Credit analysis and review - Prepare credit papers and memorandum related to fund finance transactions Client Onboarding Credit Administration - Prepare inputs for profit reports and support loan drawdown preparation through ensuring all documentation is in place. Qualifications - Degree level education is required. Finance, banking, mathematics or accounting discipline preferred but not essential.

Goodman Masson are partnering with a leading global private markets investment firm to recruit a Finance Analyst into their Investment Finance team. This is an excellent opportunity for a qualified accountant to gain broad exposure across private equity, private credit and wider private markets strategies within a highly commercial finance function that partners closely with investment, investor-facing and treasury teams. The role offers excellent exposure to live investment activity, liquidity management, fundraising support and strategic finance projects within a fast-paced and collaborative environment. The firm is known for its strong track record of developing finance talent. Many team members progress internally as their responsibilities grow, and individuals are encouraged to take ownership, contribute ideas and develop a broad commercial understanding of the investment lifecycle. The business operates in a highly collaborative and meritocratic environment with a genuinely low hierarchy culture, where high performers are given meaningful responsibility and exposure from an early stage. The successful candidate will work in a high profile, fast-paced team where proactive thinking, strong interpersonal skills and the ability to influence are key to success. Responsibilities will include: • Partnering with investment teams to support new transactions, ensuring appropriate funding, liquidity and operational readiness throughout the investment lifecycle;, • Supporting treasury activities including cashflow forecasting, liquidity management, FX execution and financing arrangements across multiple investment vehicles;, • Producing commercial analysis and reporting to support senior management decision making across liquidity, investment activity, fund performance and treasury strategy;, • Partnering with Investor Relations to support fundraising activities, performance analysis and investor due diligence requests;, • Working alongside finance, legal and operational teams to support the establishment of new investment structures and fund launches;, • Coordinating with external service providers, including fund administrators and auditors, to support quarterly reporting and annual financial statement processes;, • Contributing to process improvement, automation and systems enhancement initiatives, working closely with finance and technology teams to improve efficiency and scalability;, • Supporting cross functional projects across finance, investment, treasury and operations as the business continues to grow. Key requirements: • Recently qualified accountant (ACA / ACCA / CIMA) with 0 to 3 years' post qualified experience;, • Trained in practice (Audit, Transaction Services, M&A, Corporate Finance, etc.) and/or in industry (Fund Accounting, Investment Banking graduate rotations, etc.) within Private Equity, Private Credit, Investment Management or wider Financial Services;, • Strong academic background, including a 2:1 degree (or above) and an A grade (or above) in A Level Mathematics;, • Strong analytical skills with excellent attention to detail;, • Advanced Excel skills and confidence working with financial data and financial models;, • Strong communication and interpersonal skills, with the confidence to engage with senior stakeholders and build relationships across the business;, • Proactive mindset with the confidence to take ownership, solve problems and identify opportunities to improve processes;, • Exposure to treasury, liquidity management, cashflow forecasting, fund structures, financing, capital markets or investment performance analysis would be advantageous.

Graduate Data ScientistLondon - 4 days a weekThe Company They are a modern, data-driven insurance provider focused on delivering flexible, tailored policies to customers. The business has expanded its product offering and built strong commercial partnerships, driving rapid growth. With around 100 employees, they are scaling quickly and investing heavily in advanced analytics and modelling. The culture is collaborative, fast-paced, and centred on innovation.The Role As a Graduate Data Scientist, you will work on models that sit at the core of the business and support key commercial decisions. • Develop predictive models across pricing, risk, and customer acquisition, • Build clustering and segmentation models to support strategic decision-making, • Analyse large and complex datasets to uncover actionable insights, • Collaborate with analysts and engineers to deploy and productionise models, • Contribute to a greenfield modelling environment and help shape best practices, • Take ownership of projects with visibility across the wider businessYour Skills and Experience, • Strong academic background in a STEM subject such as Mathematics, Data Science, Computer Science, or similar, • Solid programming skills, ideally in Python, • Understanding of statistical modelling and machine learning fundamentals, • Hands-on experience through internships, placements, or personal projects, • Demonstrated curiosity and initiative, such as side projects or GitHub work, • Clear communication skills and the ability to collaborate with cross-functional teams, • Motivated, proactive, and keen to take ownership early in your careerWhat They Offer, • Hybrid working with a strong in-office culture, • Opportunity to work on high-impact, business-critical models, • Fast career progression as the team continues to grow, • Work abroad flexibility for short periods each year, • Supportive environment with strong learning and development opportunitiesHow to Apply If you are a graduate or early-career data scientist looking to make an impact in a high-growth environment, please apply with your CV.

Graduate Investment Data Analyst Programme Central London | Global Investment & Asset Management Group Starting Salary: £42,000 – £50,000 per annum Performance Bonus Scheme Private Medical Insurance Hybrid Working Opportunities International Career Development Pathways Exceptional Pension & Wellbeing Package Turn Data Into Investment Decisions Are you a graduate with a passion for data, financial markets, technology, and problem solving? Our Graduate Investment Data Analyst Programme offers an exciting opportunity to join one of the UK's fastest-growing investment organisations, where data sits at the heart of every strategic decision. This is not a back-office reporting role. From day one, you will work alongside investment professionals, quantitative analysts, portfolio managers, and technology specialists to help uncover market trends, evaluate investment opportunities, and support multi-million-pound investment decisions. As financial markets become increasingly driven by data and technology, organisations require talented graduates capable of transforming complex information into actionable insights. This programme has been designed to develop future leaders within investment analytics and investment strategy. What You Will Be Doing You will gain exposure to a wide range of investment and analytical activities including: • Analysing market, economic and financial data from global sources, • Producing investment performance reports and analytical dashboards, • Supporting portfolio monitoring and investment research projects, • Identifying patterns, trends and anomalies across large datasets, • Assisting senior investment professionals with data-driven decision making, • Working with financial modelling and forecasting tools, • Helping develop automated reporting and business intelligence solutions, • Contributing to investment committee presentations and research reports, • Monitoring global economic developments and their potential market impact, • Collaborating with technology teams to improve data quality and analytical capabilities What We Are Looking For We welcome applications from graduates who possess: • A degree in Finance, Economics, Mathematics, Statistics, Data Science, Business Analytics, Computer Science or a related discipline, • Strong analytical and problem-solving abilities, • Excellent attention to detail, • Advanced Microsoft Excel skills, • A genuine interest in investments, financial markets and economic trends, • The ability to communicate complex information clearly and effectively, • A proactive attitude and willingness to learn What Makes This Opportunity Different Unlike many graduate schemes that spend months rotating candidates through administrative departments, this programme places you directly into a specialist investment analytics team where your work will contribute to real investment decisions. You will receive structured mentoring from experienced investment professionals, exposure to sophisticated market intelligence platforms, and opportunities to work alongside teams operating across Europe, Asia, and North America. Successful graduates have progressed into positions including: • Investment Analyst, • Portfolio Analyst, • Quantitative Research Analyst, • Investment Strategy Associate, • Data & Insights Manager, • Portfolio Manager Benefits & Rewards • Competitive starting salary of £42,000 – £50,000, • Annual performance-related bonus, • Private healthcare cover, • Hybrid working arrangements, • Generous pension contribution scheme, • Gym membership allowance, • Employee wellbeing programme, • Season ticket loan, • Enhanced annual leave entitlement, • International travel opportunities, • Modern Central London offices, • Structured graduate development programme, • Fast-track progression opportunities Location Based within our prestigious Central London headquarters, with opportunities to collaborate with colleagues across our international office network. If you are looking to build a career where finance, technology, data, and investment strategy come together, we would be delighted to hear from you.

Accounts Payable OfficerHybrid – Heston/Southall5-12month Maternity Contract£29,000 - £30,000paDepartment: FinanceReports To: Finance Manager / Financial ControllerJob Purpose To ensure the accurate and timely processing of supplier invoices, employee expense claims, and payment transactions while maintaining strong financial controls and positive supplier relationships.Key Responsibilities • Process and verify supplier invoices and ensure correct coding and approval., • Match invoices to purchase orders and goods received notes as applicable., • Prepare and process weekly and monthly payment runs., • Reconcile supplier statements and investigate discrepancies., • Maintain accurate vendor records and account details., • Respond to supplier and internal stakeholder queries in a professional and timely manner., • Process employee expenses in line with company policies., • Assist with month-end activities, including accruals and account reconciliations., • Monitor outstanding balances and support cash flow management., • Support audits by providing requested documentation and information.Skills & Experience, • Previous experience in an Accounts Payable or Finance Assistant role., • Good understanding of accounting principles and AP processes., • Experience using ERP or finance systems (e.g., CargoWise, SAP, Oracle, NetSuite)., • Strong attention to detail and accuracy., • Proficient in Microsoft Excel and other Microsoft Office applications., • Ability to manage multiple tasks and meet deadlines., • Strong communication and stakeholder management skills., • Problem-solving mindset with a proactive approach.Qualifications, • AAT qualification or studying towards a professional accounting qualification (desirable)., • GCSEs or equivalent qualifications in Mathematics and English.Key Competencies, • Attention to detail, • Organisation and time management, • Customer service focus, • Teamwork and collaboration, • Integrity and confidentiality, • Analytical thinkingThis role plays a critical part in maintaining accurate financial records, ensuring timely payments, and supporting the overall efficiency of the finance function.Morgan Spencer – Your Career, Our Expertise Morgan Spencer is one of London’s leading Executive Secretarial and Business Support recruitment consultancies, connecting high-calibre professionals with outstanding opportunities.Equal Opportunities We are committed to equality, diversity and inclusion and welcome applications from all suitably qualified candidates.Confidentiality & GDPR All applications are handled in strict confidence and in full compliance with UK GDPR. Your information will be used solely for recruitment purposes and will not be shared without your consent. Morgan Spencer Limited, registered in England & Wales No: 4254114.

Bowleys Oversight is building a new category of residential property decision intelligence. We combine data, mathematical modelling and AI to help landlords, investors and property owners make better decisions. This is an opportunity to work directly with the founder and help build the analytical and technical foundations of the business from the ground up. What you'll do • Design and build mathematical models for real-world property decisions., • Develop Python-based tools and internal software., • Analyse large property datasets to identify patterns and opportunities., • Build decision models for pricing, rental performance, investment and asset management., • Experiment with AI and LLMs to automate research and analysis., • Create prototypes, dashboards and internal applications., • Improve and validate models using real market data., • Work across engineering, data science and product development.We're looking for someone who, • Is studying or has recently completed a degree in Computer Science, Mathematics, Engineering, Physics, Statistics, Data Science or a related quantitative subject., • Has strong programming skills, ideally in Python., • Enjoys solving complex problems from first principles., • Can translate ideas into working software., • Is curious, ambitious and enjoys learning quickly., • Wants to build products rather than simply maintain them. Experience with AI, machine learning, optimisation, data engineering or full-stack development is a bonus but not essential. What you'll gain • Direct mentorship from the founder., • The opportunity to work on genuine AI and decision intelligence systems., • Significant ownership from day one., • Exposure to product development, modelling and commercial strategy., • Flexible working arrangements., • The possibility of progressing into a full-time founding engineering role as the company grows.Our culture We value curiosity, intellectual honesty, rapid learning and first-principles thinking. We care more about your ability to solve difficult problems than your previous job titles or industry experience. If you're excited by building technology that solves complex real-world problems and want to help create something from the ground up, we'd love to hear from you.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker), • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale., • Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices., • Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps., • Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions., • Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. What Sets You Up for Success: • 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms), • Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Bonus Skills to Stand Out (Optional): • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Mathematics, or a related field. #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

Our client is a very successful and dynamic European Energy Trading business. As part of the team, you will contribute to the development of innovative energy products and the promotion of renewable energy solutions. We are seeking the expertise of an experienced Energy/Commodity trading professional to join the trading function, who has a solid understanding of deal lifecycles, market processes and regulatory frameworks in Energy trading, to lead and support new product implementations and updates. KEY RESPONSIBILITIES: • Lead and support new product implementations and updates, coordinating requirements across Trading, Risk, Operations, IT, and supporting functions., • Drive commercial prioritisation with Front Office, structuring and evaluating a growing pipeline of product requests., • Manage Single Deal Approvals (SDAs), ensuring timely processing and tactical implementation, • Steer the implementation roadmap, balancing multiple initiatives and deadlines in a dynamic trading environment., • Enable commercial teams by delivering solutions and pragmatic support for new business activities and ad hoc requests. REQUIRED SKILLS & EXPERIENCE: • University degree in Economics, Computer Science, Mathematics, Physics, Engineering or similar discipline, • Minimum 10 years’ experience in commodity trading, ideally in commercial, middle office, or operations roles, • Strong understanding of deal lifecycle, market processes, and regulatory frameworks in energy trading, • Familiarity with ETRM systems, data flows, market platforms, and complex system architectures, • Superior communication and stakeholder management skills, with the ability to balance competing interests and maintain effective collaboration, • A proactive and resilient team player who adds value in a fast‑paced trading environment and can handle a high volume of requests, including frequent ad‑hoc tasks from Front Office, • Excellent problem‑solving capabilities and the ability to navigate complex multi‑stakeholder environments, • Fluent English required; German and additional languages are an advantage

Quantitative Researcher – Systematic Futures Alpha | Path to Sub-PM We are currently working with a major hedge fund, seeking an experienced Quantitative Researcher to join a highly successful systematic trading pod, partnering directly with an established quantamental Portfolio Manager who has consistently generated multi-million dollar PnL and is now looking to expand the team. This is a unique opportunity for an alpha-focused researcher to play a key role in the development of systematic trading strategies across global futures markets, with a clearly defined path towards Sub-PM and Portfolio Manager responsibilities. The Role Working directly alongside the Portfolio Manager, you will be responsible for researching, developing and implementing systematic alpha strategies across a diversified universe of liquid futures markets. This role is ideally suited to someone who enjoys taking ownership of the research process, from idea generation through to production, and is looking to progress beyond a traditional Quantitative Research position into a genuine risk-taking role. Responsibilities • Research and develop systematic alpha signals across multi-asset futures., • Generate and validate new trading ideas using statistical and machine learning techniques., • Analyse large structured and alternative datasets to identify predictive signals., • Build robust research tools and production-quality code., • Work closely with the Portfolio Manager to refine and enhance existing strategies., • Contribute to the continued growth of a high-performing systematic trading business. Requirements • Demonstrated experience generating alpha within a systematic trading environment., • Strong quantitative research background, ideally within futures or other liquid asset classes., • Excellent programming skills in Python and/or C++., • MSc or PhD in Mathematics, Physics, Computer Science, Engineering, Statistics or another quantitative STEM discipline., • Strong statistical and analytical skills with experience designing predictive models., • Exposure to Machine Learning techniques such as Natural Language Processing, Neural Networks, Reinforcement Learning or other AI methodologies would be advantageous, but is not essential., • A genuine passion for researching and developing systematic investment strategies. What's on Offer • Opportunity to work directly with a highly successful Portfolio Manager with an established track record., • Significant ownership over alpha generation and research direction., • Clear progression towards Sub-PM and Portfolio Manager responsibilities., • Highly competitive base salary combined with an attractive PnL-linked bonus structure., • Access to first-class infrastructure, technology and capital., • A collaborative environment where strong ideas are recognised, implemented and rewarded. If you're an experienced Quantitative Researcher looking to take ownership of alpha generation and accelerate your progression towards portfolio management, I'd be delighted to have a discreet conversation - j.gates@varopartners.com

Machine Learning Researchers - Hybrid My client is a stealth quantitative hedge fund. Their strategy spans mid-frequency trading (MFT) across equities, crypto, and futures. The broader ambition extends beyond trading performance toward eventually funding advanced research initiatives in science and engineering. The team includes quantitative researchers and developers from leading firms such as Two Sigma, Point72, WorldQuant, and SpaceX. Qualifications for ML Researcher • Recent, or soon to be graduate at a top international university, with relevant course work, internship, or other applicable experience or knowledge, • Masters degree (PhD preferred) in a quantitative or related field such as Machine Learning, Mathematics, Statistics, Computer Science, or Physics., • Strong communication skills with the ability to collaborate with teammates globally, • Strong sense of urgency with the ability to work well in a fast-paced environment, • Programming skills essential, with at least one major programming or scripting language, strong preference for Python. If you are interested in the ML Researcher role then apply here.

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Reporting to the Head of Travel Underwriting for European Hub, you will be responsible for leading portfolio remediation efforts across the global travel insurance book, with an immediate focus on the United Kingdom. This role drives technical underwriting excellence through deep-dive performance analysis at both client and portfolio level, identifying root causes of deterioration and implementing corrective action to ensure rate adequacy and sustainability. The role partners closely with Pricing, Actuarial, Claims, and Distribution to execute targeted remediation strategies aligned with the Travel Line of Business strategy. Ensures all underwriting actions are technically sound, commercially relevant, and fully compliant with Allianz and AzP standards. What you do • Lead and drive remediation efforts across global travel portfolios, with an initial and primary focus on the United Kingdom market., • Conduct deep-dive analysis on individual client and portfolio performance to identify specific causes of deterioration, including rate inadequacy, rating factor drift, and shifts in risk mix., • Collaborate closely with the Pricing team to ensure tariff and non-tariff books are performing in line with expectations; recommend and implement targeted adjustments where deviations are observed., • Work hand-in-hand with the Portfolio Monitoring and Actuarial teams to identify underperforming segments, define remediation plans, and provide accurate performance data into central portfolio tools., • Ensure underwriting actions are aligned with Allianz standards and AzP Underwriting Guidelines, with a strong focus on technical soundness and commercial impact., • Support the annual planning process through robust commercial margin analysis, forecasting outcomes of remedial actions, and highlighting residual risks., • Maintain transparency on all portfolio changes and initiatives to support reserve adequacy and proper technical provisioning., • Represent underwriting in cross-functional remediation squads, working closely with Product, Distribution, and Claims to address root causes of underperformance and drive sustainable profitability., • Communicate findings and proposed actions clearly to senior leadership, with focus on data-driven rationale and outcome-focused proposals. Who you are • 8+ years of professional experience in insurance data analysis, pricing, or performance monitoring., • Degree in Actuarial Science, Statistics, Econometrics, Mathematics, Computer Science, Data Analytics, or related field., • Being Qualified actuary (e.g., FIA, FSA, or equivalent) or Chartered Professional Accountant (CPA or equivalent) represents an advantage., • Strong hands-on experience with MS SQL (or equivalent database technologies)., • Experience using insurance performance monitoring tools., • Proven expertise in data analytics and reporting tools, especially Power BI., • Advanced MS Excel skills and strong overall MS Office proficiency., • Experience in insurance pricing tools (e.g. Radar) represents an advantage., • Fluent English, both written and spoken. How we hire We hire directly. Allianz Partners does not accept unsolicited CV's or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered. 100230 | Underwriting | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow.

This job is with Bank of America, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! We are looking for a highly skilled and innovative Quant Developer / Strategist to join the Quantitative Strategies & Data Group within Global Markets. The team develops Python-based solutions on the Bank's strategic platform, Quartz, delivering strategic and regulatory programmes, including FRTB IMA, VaR, Strategic Risk and PnL, etc.. The role offers exposure across all asset classes (Rates / Commodity / Credit / FX / Equity) and involves close collaboration with Front Office Technology, Risk, and Quant teams. This is a hands-on role combining quantitative modelling, data analysis and engineering. Key Responsibilities: • Develop and enhance market models (e.g. VaR) to ensure accurate measurement of risk exposures across trading books, in line with regulatory and internal governance requirements, • Support the implementation of robust risk data testing frameworks to assess the appropriateness, completeness and reasonableness of risk scenarios, VaR, expected shortfall and stress test calculations. This includes testing scenario design, implementation, results consolidation, and analyses of calculations to understand key drivers, • Investigate data issues and model anomalies, expanding and debugging the existing risk and PnL calculation code, and improving performance and maintainability, • Partner with Tech, Quants and Risk partners to ensure that the solutions are scalable and aligned with the programmes' needs, • Drive continuous improvement through critical review of model development and validation outcomes, and constructive challenge and feedback on technical documentation Required Qualifications and Skills: • Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background), • Proficient in Python, SQL, C++ and other, • Excellent analytical and problem-solving skills, • Strong communication skills, • Risk knowledge is desirable but not strictly necessary, provided there is a willingness to learn, • We welcome applications from junior candidates with at least 2 years of financial markets experience, as well as from more experienced professionals

Key responsibilities: • Supplement and update the basic information in our databases., • Assist in cleaning up and classifying primary data to ensure accuracy and usability., • Serve as a programmer in data analysis projects utilizing Python-based tools., • Adjust and manipulate data to meet specific analytical needs., • Integrate historical data and establish separate databases using Microsoft Access., • Assist analysts in designing logical principles for data processing and analysis., • Research external data sources that align with the analyst’s requirements., • Support internal data analysis with market benchmarks and economic environment insights., • Assist analysts in building models for market forecasting, including revenue and pricing predictions., • Utilize programming languages such as Python and R for data analysis and model building., • Perform other tasks as assigned by the line manager to support the data analysis team., • Assist with calculating business performance and provide training to colleagues. Requirements： • Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, Marketing, or a related field., • Strong interest in data analysis, market research, business intelligence, and data-driven decision-making., • Good knowledge of Microsoft Excel, including data manipulation, formulas, pivot tables, and basic reporting., • Familiarity with Python for data processing and analysis. Experience with libraries such as Pandas, NumPy, Matplotlib, or similar tools would be an advantage., • Basic understanding of databases and data management principles. Experience with Microsoft Access, SQL, or other database tools is desirable., • Ability to collect, organize, clean, and validate large volumes of data with a high level of accuracy and attention to detail., • Analytical mindset with the ability to identify trends, patterns, and insights from data., • Knowledge of market analysis, business performance analysis, forecasting, or statistical modelling would be beneficial., • Familiarity with R, Power BI, Tableau, or other data visualization and analytical tools would be considered an advantage., • Good research skills with the ability to gather and evaluate information from external sources., • Strong communication and interpersonal skills, with the ability to explain data findings clearly to non-technical colleagues., • Self-motivated, proactive, and able to work independently as well as collaboratively within a team environment., • Excellent organisational skills with the ability to manage multiple tasks and meet deadlines., • Fluent in English, both written and spoken. Chinese language skills would be an advantage but are not essential.

MMP Consultancy are looking to recruit a Repairs Planner on a Ongoing basis, in South London.\n\nThe Repairs Planner will work closely with the Maintenance Team to ensure that all repairs and maintenance work is carried out in a timely and efficient manner.\n\nThe successful candidate must have excellent organisational skills and the ability to plan and prioritise workloads. You will liaise with residents and contractors to ensure that all works are completed to a high standard.\n\nMain Responsibilities:\n\nManage Operatives diaries.\nPlanning repairs works for pre and post inspection, reactive and emergency repairs.\nPrioritising emergency works.\nBooking appointments and allocating works to the available operatives and following works from start through to completion.\nEnsure all relevant data is updated on a timely basis.\nLiaising with tenants and Operatives to arrange repairs.\nEffectively communicate any concerns about work quality and ensure operatives have the right material to complete their work.\nTake part in meetings, supervision, training as requested by the manager.\n\nExperience Required:\n\nPrevious experience of working with a Housing Association / Local Authority or contractor in either a Planning, Scheduling or Customer Service capacity\nExcellent communicator, with strong organisational skills\nGCSEs at Grade C or above and including Mathematics and English\nProficient IT skills including use of Microsoft Excel and Word Proven background in a customer service focused environment\nExperience of using database systems (Connect / Northgate / DRS)\nConstruction related knowledge

Trainee Maths Teacher Lambeth September StartAre you an ambitious Trainee Maths Teacher looking to begin your teaching career in Lambeth this September? This permanent opportunity is based within a high-achieving and inclusive 1118 secondary academy, ranked among the top non-selective state schools in Greater London and recognised for its exceptional academic outcomes, ambitious culture and commitment to developing outstanding teachers.Trainee Maths Teacher | Permanent | September StartPay: £115 per dayOutstanding mentoring, bespoke CPD and a structured pathway towards Qualified Teacher StatusJoin a high-performing Maths department with excellent resources and supportive leadershipAccess to career progression within one of the UK's leading academy trustsWork with motivated students in a school driven by ambition, integrity and determinationThe Trainee Maths Teacher will support the delivery of engaging Maths lessons across Key Stages 3 and 4, with opportunities to develop teaching practice alongside experienced colleaguesThe successful Trainee Maths Teacher will hold a strong Mathematics-related degree (2:1 or above preferred), possess excellent subject knowledge and be passionate about inspiring young peoplePrevious experience working with secondary-aged pupils through tutoring, mentoring or schools is desirableThe Trainee Maths Teacher should be organised, resilient, enthusiastic and committed to raising attainment for every learnerThe academy educates approximately 836 pupils , with around 16% receiving SEN Support and 4% holding EHCPs , creating an inclusive and well-supported learning environment.Students achieve impressive outcomes, including 49% achieving Grade 5+ in English and Maths GCSEs , while 44% of sixth form leavers progressed to Russell Group universities in 2025 , reflecting the academy's high aspirations.This Trainee Maths Teacher role is perfect for a graduate seeking outstanding training within an ambitious school in LambethInterviewing now for a September Start in Lambeth apply today to secure this exciting Trainee Maths Teacher opportunity.Ribbons & Reeves are Londons leading Education Recruiters. We specialise in helping educators of all levels secure long-term and permanent roles, such as this Trainee Maths Teacher in Lambeth . For other roles like this, check out our website, search Ribbons & Reeves. We look forward to supporting you in your application to this Trainee Maths Teacher role.TPBN1_UKTJ

About company PrismFP Analytics builds quantitative analytics products for institutional investors from offices in London, New York, Copenhagen and Tallinn. We combine deep practitioner knowledge of financial markets with cloud-scale data infrastructure to power proprietary derivatives analytics, portfolio construction, and risk tooling for some of the largest names in finance. The role This is a balanced role - roughly 50% people leadership, 50% hands-on engineering. You will own our data strategy and roadmap while staying close enough to implementation to unblock your team, make architecture decisions with conviction, and ship code yourself when it matters. Team You will manage a team of 3 data professionals today, with a hire planned this year. Reporting line This is a high-profile role that reports directly to the CEO and includes hiring, performance review and team development responsibilities. What you’ll do • Set and evolve the data strategy and roadmap in line with company priorities, balancing quick wins with scalable foundations., • Lead the data team (currently 3 people), including hiring (with a plan to add 1 more this year), performance reviews, coaching, and day-to-day delivery management., • Stay hands-on: design, build, and maintain data pipelines, datasets, and internal tooling that support quantitative research and product development., • Establish and own data quality, availability, and coverage metrics (KPIs), along with monitoring and alerting to keep data reliable., • Partner closely with quantitative researchers, software engineers, product owners, and the business to deliver end-to-end data capabilities., • Improve data engineering standards and practices (testing, code quality, documentation, and operational excellence) to help the team scale sustainably. What success looks like (first 6 months) • Clear quality/availability/coverage KPIs are defined, visible, and used to guide priorities., • A clean taxonomy and stable interfaces/contracts exist for core datasets (definitions, naming, ownership, consumption patterns)., • Incidents and manual fixes drop through better validation, monitoring/alerts, and clear ownership., • Strong data engineering practices are the default: testing, code review, documentation, and operational ownership., • A sustainable team cadence is in place: prioritisation, planning, and support expectations are clear., • Cost and performance are managed intentionally, with visibility into drivers and explicit trade-offs—without hurting reliability. Who you are and what you have • You have 5–10+ years of experience in data engineering, with at least 2 years leading or managing a team—guiding, motivating, and developing colleagues to deliver shared outcomes., • You have experience working with financial datasets, ideally including market data feeds, derivatives reference data, and time-series pricing or similar domains., • You can align data initiatives with overarching business strategy, translating business priorities into a clear data roadmap your team can execute., • You have deep experience designing, building, and operating production data pipelines, including owning reliability, monitoring, and failure recovery for orchestration systems such as Apache Airflow (or equivalent)., • You are fluent in modern data and cloud ecosystems, with hands-on experience (or the ability to ramp quickly) in technologies such as Iceberg, Spark, PostgreSQL, and cloud-native infrastructure on AWS (or equivalent)., • You write clean, readable, and testable Python code, applying sound abstractions, naming, and review discipline to build systems that scale beyond the first version., • You bring strong analytical and problem-solving skills and can communicate ideas clearly—both in writing (e.g. concise design documents) and in discussion with engineers, product owners, and business stakeholders., • You exercise pragmatic judgment: knowing when to build robust foundations and when a well-scoped, pragmatic solution is the right trade-off, and you can converge when many possible solutions exist., • You work well within a team and believe in open discussion, inclusion, and diversity., • You like to explore new approaches and technologies to solve problems but can move decisively from exploration to execution., • A high university degree in Computer Science, Mathematics, Engineering, Physics, or similar Our approach and technology stack • Part hybrid work policy - min 4 days a week in office, • Lean principles and Agile development practices, • Continuous deployment across all microservices, • Big Data ecosystem and SQL Databases (Apache Airflow, Iceberg, Spark/Thrift, PostgreSQL, Azure Hyperscale), • Python as a primary backend language, • High-level frameworks (Flask, SQLAlchemy, Alembic, Pytest, Socket.IO), • Amazon Web Services and ecosystem (AWS core services, Lambda, RDS, EKS, S3, etc.), • Cloud-native technologies (Kubernetes, Helm, Docker), • Observability technologies (Prometheus, Jaeger, Loki, Grafana, Sentry), • Infrastructure automation and containerized CI/CD (GitLab, Terraform, Atlantis), • Any technologies you feel would help us move forward Benefits • Competitive salary / discretionary bonus / ESOP, • Work closely with financial market practitioners, • Private medical insurance, • Pension salary sacrifice and contribution match, • 25 days annual leave plus bank holidays, • Regular team events - joint dinners, drinks, • Travel opportunities to Estonia

Job Title: Senior/Principal Naval ArchitectLocation: Barrow-in-Furness, Bristol, Portsmouth or FrimleyWe offer a range of hybrid and flexible working arrangements please speak to your recruiter about the options for this particular roleSalary: CompetitiveWho we are:Join BAE Systems and youll be part of something bigger. As a valued member of our global colleague network, youll bring your unique skills and perspectives to help pioneer progress and protect what matters most. Youll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us.From the depths of the ocean, to the far reaches of space, theres no limit to where a career at BAE Systems could take you.What youll be doing:You will be conducting the analysis and evaluations of submarine platform manoeuvring performance from concept design to in service support, whilst undertaking the development, verification and validation of mathematical manoeuvring models using physical model test data.You will be working with enterprise partners to develop modelling capabilities, processes and toolsets, all whilst collaborating with Naval Architect teams and customers to deliver innovative and safe submarine solutions, while supporting and conducting hydrodynamic sea trials.Core duties:You will have gained prior experience within the generation of ship or submarine manoeuvring modellingYou will need to be able to demonstrate a strong understanding of hydrodynamic principles and methodsYou will need to hold a degree in Naval Architecture, Aeronautical Engineering, Mathematics, Physics or have relevant equivalent experienceThe Vehicle Control Team:As a Principal or Senior Naval Architect in the Vehicle Control team, you will work with experts across Naval Architecture and the Whole Boat Design Team on major, complex submarine design and build programmes, delivering advanced platforms for the Royal Navy and Royal Australian Navy. We offer relocation support packages across all Submarine roles, subject to meeting eligibility criteria.Why BAE Systems?Here youll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. Youll be recognised for your contribution and enjoy rewards tailored to whats most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make.A place where everyone can thrive:Were committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do.Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks.Closing Date: 27th July 2026We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.#LI-CB1#LI-hybridTPBN1_UKTJ

Executive Reward & Share Plans ManagerLondon (Hybrid)PermanentLarge Global FMCG CompanyAre you an experienced reward professional looking for an opportunity to work within a truly global organisation? We are partnering with a large international FMCG business to recruit an Executive Reward & Share Plans Manager to join their Group Reward team based in London.This is a fantastic opportunity to gain exposure to executive compensation and global share plan activity within a highly respected FTSE-listed environment. The role offers broad scope, senior stakeholder exposure, and excellent long-term development opportunities.The RoleWorking closely with the Group Head of Share Plans and senior members of the Executive Reward team, you will support the delivery of executive reward programmes and annual global share plan events across multiple international markets.Key responsibilities will include:Supporting executive compensation benchmarking and maintaining peer group databasesAnalysing remuneration reports and compensation disclosuresAssisting with the delivery of executive reward cycles and global share plan eventsPreparing executive shareholding reports and reward-related analyticsConducting research into corporate governance, proxy advisor policies, and market trendsManaging employee-facing share plan communications and online contentPartnering with Global Mobility, Reward, HR, Legal, Tax, and external vendors on international reward mattersMaintaining process documentation to support governance and audit requirementsContributing to reward-related projects and wider team initiativesAbout YouTo be successful in this role, you will bring:Experience within executive reward, executive compensation, or global share plansA strong understanding of global share plan administration and related tax conceptsExperience benchmarking executive compensation and analysing director remuneration reports/CD&A disclosuresExcellent analytical skills with the ability to interpret and present complex dataAdvanced Excel skills and strong proficiency across Microsoft Office and SharePointOutstanding attention to detail and organisational skillsThe ability to manage multiple projects and deadlines simultaneouslyStrong written and verbal communication skillsExperience preparing employee-facing communicationsFluent EnglishDesirableDegree in Mathematics, Science, Economics, or a related disciplineTax or accounting qualification/certificationExperience working within a multinational or FTSE-listed environmentWhat's on Offer?The opportunity to join a large global FMCG organisation with an international footprintExposure to complex executive reward and share plan mattersSenior stakeholder engagement and cross-functional collaborationExcellent learning, development, and career progression opportunitiesHybrid working in a central London locationInterested?If you are looking to develop your expertise in executive reward and share plans within a dynamic global business, we would love to hear from you.Apply now to find out more about this exciting opportunity.Top of FormBottom of FormTPBN1_UKTJ

📄 Job Specification: Quantitative Developer (PhD) Location: London, UK Employment Type: Permanent Salary: Competitive + Bonus + Benefits 🧭 Overview We are seeking highly skilled Quantitative Developers (PhD level) to join leading banking institutions in London. The role focuses on building robust quantitative models, analytics platforms, and high-performance systems to support trading, risk management, and pricing functions across asset classes. 🎯 Key Responsibilities • Design, develop, and implement quantitative models for pricing, risk, and trading strategies, • Translate complex financial models into scalable production-grade code, • Collaborate closely with Front Office, Trading, Risk, and Research teams, • Enhance and maintain low-latency, high-performance systems, • Perform model validation, backtesting, and optimisation, • Contribute to architecture design of quant libraries and analytics platforms, • Ensure best practices in software engineering, testing, and documentation, • Work with large datasets and implement efficient numerical methods 🧠 Required Qualifications • PhD in a quantitative discipline, such as:, • Mathematics, • Physics, • Statistics, • Financial Engineering, • Computer Science, • Strong academic background with focus on applied mathematics or computational methods 💼 Essential Experience • Proven experience working within investment banking or financial markets, • Strong understanding of:, • Derivatives pricing, • Risk modelling, • Market data and financial instruments, • Experience supporting Front Office or trading desks (highly desirable) 🛠️ Technical Skills • Advanced programming skills in:, • Python (essential), • C++ / Java / C# (strongly preferred), • Experience with:, • Object-oriented design and software engineering best practices, • Numerical methods (Monte Carlo, PDEs, stochastic calculus), • Data structures, algorithms, and performance optimisation, • Familiarity with:, • Quant libraries (e.g., QuantLib), • Cloud platforms or distributed computing (nice to have), • Version control tools (Git) 📊 Preferred Domain Expertise • One or more asset classes:, • Equities, • Fixed Income, • FX, • Commodities, • Credit derivatives, • Exposure to:, • Algorithmic trading / systematic strategies, • Risk systems (XVA, VaR, CVA, PFE, etc.) 🤝 Soft Skills • Strong analytical and problem-solving abilities, • Excellent communication skills (ability to explain complex concepts clearly), • Ability to work in fast-paced, front-office environments, • Collaborative mindset with stakeholders across business and technology 🌟 What’s on Offer • Opportunity to work on cutting-edge quantitative problems in global banking, • Exposure to front-office trading environments, • Competitive compensation with performance bonus, • Clear career progression into lead quant / architect roles, • Flexible / hybrid working options 📌 Typical Candidate Profile • PhD graduate with 3–10+ years’ experience in banking, • Strong blend of quantitative research + software engineering skills, • Experience delivering production-ready quant models, • Passion for solving complex financial and computational problems

Seeking a Maths Teaching Assistant for a high-achieving secondary school in Enfield, London, known for its strong academic culture and rigorous Mathematics curriculum. The role supports the thriving Maths department.

SEN Maths Teacher - Southwark - SEN School - £170-£300 a day (depending on experience) - Full Time - Immediate Start\n\nSEN Maths Teacher - Must hold QTS\nSEN Maths Teacher - Previous experience teaching Mathematics required\nSEN Maths Teacher - Experience working with pupils with SEN or additional needs desirable\nSEN Maths Teacher - Required full time ASAPAre you a qualified Maths Teacher looking to work within a specialist SEN setting?\n Do you have experience teaching Mathematics to pupils with additional needs?\n Are you able to commute easily to Southwark?\n\nIf yes, then this SEN Maths Teacher role is for you!!!\n\nThe Role - SEN Maths Teacher\n Seeking a dedicated and adaptable SEN Maths Teacher to teach pupils aged 11-19 within a specialist SEN setting. You will deliver engaging and differentiated Mathematics lessons tailored to meet a range of learning needs, including autism, moderate learning difficulties, severe learning difficulties and associated communication needs. The role involves adapting the curriculum to meet EHCP outcomes, monitoring pupil progress, promoting independence and creating a structured, supportive learning environment where every student can achieve their potential. You will work closely with teaching assistants, therapists and the wider multidisciplinary team to provide the highest standard of support.\n\nThe School - SEN Maths Teacher\n This specialist provision is located in the London Borough of Southwark and is within walking distance of a nearby London Underground station. The school supports pupils with a range of complex special educational needs and provides personalised learning, therapeutic support and a nurturing environment focused on academic achievement, communication, independence and life skills development. The school was judged 'Good' at its most recent Ofsted inspection in 2023.\n\nApply here for this SEN Maths Teacher role or contact Brandon at Qualiteach for more information

Salary: £46,000 per year Contract Type: Permanent Location: UK (minimum 2 days per week in the London office) Work Pattern: Full-time, 37.5 hours per week with the opportunity for flexible working hours Reporting To: Chiara De Luca, Head of Impact, STEM Pathways Please submit an anonymised CV and covering letter (please remove any identifying details such as name, address, photos) by midnight on 9 January via the Workable link on our careers page. Your covering letter should outline: ● Your motivations for applying to Mission 44 ● How this role fits into your career plans ● Experience (professional, voluntary or lived) that makes you a great fit for this role in line with our values and the criteria outlined in this job description. About The Role Mission 44 supports young people to boost aspirations, achieve academically, and provide resources and industry exposure to access great STEM (Science, Technology, Engineering, and Mathematics) careers. Our motorsports engagement strategy, which sits under our global STEM strategy, seeks to accelerate sector-wide change in motorsport within the next three years. It leverages Mission 44’s convening power and our MSc Motorsports Scholarship programme to deliver measurable change across employers and increased access for young people from all underrepresented backgrounds to exciting roles in motorsports. As the Senior Impact Manager, Motorsports Engagement, you will play a crucial role in developing and maintaining strategic relationships with motorsports employers to support young people from underrepresented backgrounds into early career opportunities. Working closely with Formula 1 and its teams, as well as a broader network of STEM-related organisations across the UK, US, and Brazil, you will lead collaboration efforts to influence inclusive recruitment and retention practices in motorsports, and enhance career access and progression. With a strong external focus, you will also support Mission 44’s fundraising goals, representing the organisation at high-profile events, stewarding key corporate accounts, and helping secure investment in our programmes and mission. We’re looking for someone passionate about influencing employers, building consensus and using it to drive action. You’ll be highly organised, resilient, adaptable and skilled at building trusted relationships. You will be a proactive problem-solver, able to balance multiple priorities while ensuring young people feel supported and heard. If you’re motivated by creating opportunities for young people to drive change, we’d love you to join our team and help us strengthen the impact we make together. ROLES AND RESPONSIBILITIES DELIVERY OF MOTORSPORTS ENGAGEMENT STRATEGY (70%) ● Play a key role in the development and execution of Mission 44’s new Motorsports strategy, to create access opportunities for young people from underrepresented backgrounds within STEM sectors, particularly motorsports. ● Build trusted relationships with key motorsport employers and stakeholders, including F1, F1 teams, FIA, and relevant STEM employers, to drive sector-wide change, focusing on increasing demand for underrepresented talent, adoption of inclusive recruitment practices, and awareness of Mission 44’s work and impact. ● Apply and continually improve the convening strategy and toolkits to Mission 44’s STEM work, helping determine when and how convening can most effectively support our goal of inspiring and supporting young people (aged 14–30) in the UK and US to access careers in STEM and motorsport. ● Collaborate with the Engagement Directorate, nonprofit partners and corporates to design and deliver high-impact STEM career experiences at Formula 1 races and other key events - some of which will be international - ensuring alignment with Mission 44’s objectives and offering young people meaningful exposure to career pathways. EXTERNAL REPRESENTATION AND ENGAGEMENT (20%) ● Represent Mission 44 at Motorsport industry events, donor meetings, clearly articulating our global mission and impact with tailored messaging for each audience. ● Support cultivation and stewardship efforts as requested by the Engagement Directorate, engaging prospective donors and prioritising meetings that deliver the greatest strategic value. ● Advocate for Mission 44 at high-profile events and stakeholder meetings, championing greater industry engagement and driving impact. ● Support our storytelling and communications efforts to highlight success and progress while spotlighting challenges to potentially shape future advocacy. MONITORING AND LEARNING (10%) ● Support the Head of Impact, STEM Pathways and the Head of Strategy and Learning to collect key impact data. ● Contribute to evaluation processes, seek and develop opportunities to raise awareness of Mission 44’s work to create early career pathways for young people. ● Assist with annual reporting and provide input into fundraising and communications materials where relevant. ABOUT YOU: SKILLS AND EXPERIENCE ESSENTIAL ● Experience working in the motorsports sector and/or F1, with a strong network of connections. Please note this is an essential requirement and candidates who do not meet this criterion will not be considered. ● Knowledge of inclusive recruitment and retention practices. ● Strong understanding of early career pathways into STEM careers, particularly into the motorsport sector, and of barriers to access for people from underrepresented backgrounds. ● Strong expertise in programme design and implementation. ● Outstanding project management and organisational skills, with the ability to drive initiatives from concept to execution, including organising events and convening workshops in an inclusive and equitable way. ● Excellent relationship management and communications skills, with the ability to engage and influence senior stakeholders across corporate, education and nonprofit sectors. ● Experience in building coalitions to meet collective goals. ● Experience in producing compelling reports and presentations to demonstrate measurable evidence of change. DESIRABLE ● Experience working in international settings. ● Experience working with non-profit organisations, grantmaking foundations, or educational institutions. PERSONAL QUALITIES ● Passionate about creating opportunities in STEM/motorsports for young people. ● Highly collaborative and adept at building and maintaining relationships with a wide range of internal and external stakeholders. ● Resilient with demonstrated ability to work in a fast-paced environment; the post-holder should be comfortable with change and uncertainty. ● Highly organised. ● Strategic with a strong personal commitment to learning and improvement. ● Possesses cultural sensitivity to work respectfully and effectively in different settings. ● Ability to work independently and also as part of a dynamic team; self-motivated and proactive. ● Committed to embedding the values of equity, diversity, and inclusion in all aspects of work. ● Creative and solutions-oriented, with the confidence to share bold ideas. BENEFITS • Enjoy 28 days annual leave, plus a day for your birthday, • Use our cycle-to-work scheme and free gym access, • Save for retirement with our generous pension package, • We finish every Friday at noon in August, • Optional health insurance and acccess to an EAP, • Professional development budget of £1k, • Unlimited volunteering leave, as agreed with your manager, • Wellbeing allowance to spend in whatever way works for you, • Competitive parental leave package

Quantitative Researcher – Systematic Futures Alpha | Path to Sub-PM We are currently working with a major hedge fund, seeking an experienced Quantitative Researcher to join a highly successful systematic trading pod, partnering directly with an established quantamental Portfolio Manager who has consistently generated multi-million dollar PnL and is now looking to expand the team. This is a unique opportunity for an alpha-focused researcher to play a key role in the development of systematic trading strategies across global futures markets, with a clearly defined path towards Sub-PM and Portfolio Manager responsibilities. The Role Working directly alongside the Portfolio Manager, you will be responsible for researching, developing and implementing systematic alpha strategies across a diversified universe of liquid futures markets. This role is ideally suited to someone who enjoys taking ownership of the research process, from idea generation through to production, and is looking to progress beyond a traditional Quantitative Research position into a genuine risk-taking role. Responsibilities • Research and develop systematic alpha signals across multi-asset futures., • Generate and validate new trading ideas using statistical and machine learning techniques., • Analyse large structured and alternative datasets to identify predictive signals., • Build robust research tools and production-quality code., • Work closely with the Portfolio Manager to refine and enhance existing strategies., • Contribute to the continued growth of a high-performing systematic trading business. Requirements • Demonstrated experience generating alpha within a systematic trading environment., • Strong quantitative research background, ideally within futures or other liquid asset classes., • Excellent programming skills in Python and/or C++., • MSc or PhD in Mathematics, Physics, Computer Science, Engineering, Statistics or another quantitative STEM discipline., • Strong statistical and analytical skills with experience designing predictive models., • Exposure to Machine Learning techniques such as Natural Language Processing, Neural Networks, Reinforcement Learning or other AI methodologies would be advantageous, but is not essential., • A genuine passion for researching and developing systematic investment strategies. What's on Offer • Opportunity to work directly with a highly successful Portfolio Manager with an established track record., • Significant ownership over alpha generation and research direction., • Clear progression towards Sub-PM and Portfolio Manager responsibilities., • Highly competitive base salary combined with an attractive PnL-linked bonus structure., • Access to first-class infrastructure, technology and capital., • A collaborative environment where strong ideas are recognised, implemented and rewarded. If you're an experienced Quantitative Researcher looking to take ownership of alpha generation and accelerate your progression towards portfolio management, I'd be delighted to have a discreet conversation - j.gates@varopartners.com

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user value? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Working closely with cross-functional partners, you will help turn ambiguous challenges into measurable outcomes that improve how researchers discover and use knowledge. Responsibilities • Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding., • Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline., • Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI., • Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation., • Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value., • Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement., • Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems., • Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements • Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area., • Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini, including fine-tuning LLMs and/or SLMs., • Strong Python skills and a habit of writing clean, maintainable, well-tested code., • A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement., • Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets., • Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib., • The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality., • Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Graduate Data Scientist London. Hybrid working (1 to 2 days in office). £60,000 to £80,000 + benefits. This is a standout opportunity for a graduate Data Scientist to join a high-performing, data-driven environment where your work will directly influence commercial outcomes. You will be given real ownership from day one, working on impactful pricing and modelling challenges while receiving structured support to accelerate your development. The Company They are a fast-growing European business operating at the intersection of data, technology, and insurance. With a strong track record of growth and significant investment, they are expanding their presence in the UK and building out a high-calibre analytics function. The organisation is known for its rigorous approach to data science and its commitment to developing talent. This is an environment designed for individuals who are curious, ambitious, and motivated to solve complex problems. The Role You will join a specialist pricing and underwriting team, applying advanced analytics to drive business performance. Key responsibilities include: • Developing predictive models to improve pricing strategies and risk assessment, • Analysing complex datasets to identify trends, opportunities, and insights, • Exploring new data sources to enhance model performance and innovation, • Supporting the simulation of customer behaviour to inform pricing decisions, • Translating technical findings into clear, actionable recommendations for stakeholders, • Collaborating with data scientists, machine learning engineers, and the wider analytics team Your Skills and Experience • A strong academic background in Mathematics, Physics, or a related quantitative field, • A minimum 2.1 degree from a leading university, ideally within the Russell Group, • Excellent analytical and problem-solving skills, with a strong logical mindset, • Exposure to Python through academic projects, internships, or personal work, • A proactive attitude, with strong communication skills and a willingness to learn quickly, • An interest in applying data science to commercial and real-world challenges What They Offer • Competitive salary ranging from £60,000 to £80,000 depending on capability, • Hybrid working model with flexibility between home and office, • Structured learning and development with clear progression pathways, • Hands-on experience with real business impact from the outset, • A collaborative, high-performance environment focused on growth and innovation How to Apply To find out more and be considered, please apply with your CV.

Computational Scientist Location: London, UK Industry: Deep Tech / Robotics / Advanced Manufacturing / Automation Employment Type: Full-time Salary: Competitive About Us We build machines that move matter using sound waves. AcoustoFab is pioneering the next generation of contactless automation through acoustic levitation technology. Our systems use programmable ultrasonic fields to manipulate delicate materials without physical contact, enabling new approaches to precision handling, inspection, sorting, and manufacturing. Our technology is already deployed globally through our Alchema Research platform, supporting customers in life sciences and advanced research environments. We are now expanding our scope to include a programme focused on scaling and commercialising contactless pick–inspect–place robotics for agricultural, pharma, and advanced manufacturing applications. As an early-stage deep tech company, we combine acoustics, robotics, software, machine vision, and product engineering to create entirely new classes of automation systems. Role Overview We are looking for a Computational Scientist to develop the mathematical models, optimisation algorithms, and scientific software that underpin AcoustoFab's next generation of acoustic manipulation technologies. Working at the intersection of physics, mathematics, and software engineering, you will develop numerical models that simulate acoustic field generation and particle behaviour, create optimisation and control algorithms, and build high-performance scientific software that enables new product capabilities. You will work closely with Product Development, Software Engineering, and R&D teams to translate theoretical advances into robust commercial systems. This role combines computational modelling, algorithm development, software engineering, and experimental validation. You will contribute across the full development lifecycle, from developing new mathematical models and solver technologies through to validating them experimentally and integrating them into commercial products. The role is approximately 40% computational modelling and algorithm development, 40% scientific software development and integration, and 20% experimental validation and research. This is an excellent opportunity for a computational scientist or physicist who enjoys solving challenging multidisciplinary problems, developing novel algorithms, and helping translate cutting-edge research into real-world industrial technology. Qualifications & Skills Required · MSc or PhD in Physics, Computational Physics, Applied Mathematics, Engineering, Computer Science, or a closely related discipline. · Strong understanding of computational physics, applied mathematics, and numerical methods. · Strong C++ software development skills with experience developing maintainable, high-performance scientific software. · Experience developing mathematical models, optimisation algorithms, and numerical solvers for complex physical systems. · Experience implementing and validating computational models using experimental data. · Strong analytical and problem-solving skills with the ability to communicate complex technical concepts clearly. · Experience working across multidisciplinary engineering or research teams. · Comfortable working across theory, simulation, software development, and experimental validation. Nice to Have · Experience with acoustic, electromagnetic, or other wave-based physical systems. · Experience with finite element, finite difference, boundary element, spectral, or other advanced numerical methods. · Experience developing real-time algorithms for engineering applications. · Familiarity with optimisation methods, inverse problems, control systems, or signal processing. · Experience using high-performance computing techniques. · Experience with scientific visualisation and data analysis tools. · Experience contributing to patents, publications, or novel technology development. · Experience working within advanced engineering or research and development environments. Mindset We're looking for someone who is: · Curious, analytical, and excited by solving challenging scientific and engineering problems. · Comfortable working on open-ended research questions while delivering practical engineering solutions. · Able to move confidently between mathematical theory, computational modelling, software development, and experimental validation. · Motivated by developing innovative technologies that bridge research and commercial deployment. · Able to take ownership of complex technical challenges while collaborating effectively within multidisciplinary teams. · Committed to scientific rigour, continuous learning, and delivering high-quality technical work. What We Offer · Hybrid working with access to our central London laboratory and development facilities. · The opportunity to work on cutting-edge acoustic manipulation and automation technologies. · A collaborative multidisciplinary environment spanning physics, robotics, software, electronics, and product development. · Direct involvement in developing the computational technologies that underpin next-generation industrial automation platforms. · Opportunities to contribute to patents, publications, algorithms, and commercial products. · Significant experience across the full technology development lifecycle, from mathematical modelling through experimental validation and product integration. · Clear progression opportunities as the company grows, with scope to lead increasingly complex modelling, algorithm development, and technology programmes. Join Us If you're excited about developing advanced computational models, creating algorithms that enable breakthrough automation technologies, and helping shape the future of contactless robotics, we'd love to hear from you. Apply now and help build the next generation of precision automation at AcoustoFab.

About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. About the role: The senior data analyst consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data-driven decisions. This role develops advanced insights and recommendations within their domain and uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences. The Sr. Data Analyst I independently leads high-complexity analytics projects and mentors junior analysts. Responsibilities • Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures., • Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives., • Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets)., • Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes., • Create clear, compelling data visualizations and narratives tailored to the target audience., • Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines., • Serve as a subject matter expert within an assigned domain and coach/mentor junior team members., • Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation., • Leverage approved AI tools to accelerate analysis and deliverables (e.g., drafting analyses, summarizing findings, generating code/queries, documenting work) while maintaining accountability for accuracy and quality., • Develops data products that meets the data consumer where they are in their data literacy journey (e.g. chatbot/genie for metrics questions, reusable dashboards). Requirements: • Bachelor’s or Master’s degree in Data Analytics, Data Science, Mathematics, or a related field; or equivalent practical experience., • Significant experience in analytics, reporting, or data science-adjacent roles., • Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data)., • Experience applying intermediate statistics to business problems., • Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis., • Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences., • Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent)., • Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers., • Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days, • Health screening, eye care vouchers and private medical benefits, • Wellbeing programs, • Life assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme, • Travel Season ticket loan, • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you, • Access to employee resource groups with dedicated time to volunteer, • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making.

Quantitative Portfolio Manager - Futures A systematic proprietary trading firm in London is looking to onboard a Portfolio Manager with quantitative futures trading experience to their team. The firm has been trading mid-frequency trading strategies successfully and have the infrastructure setup to implement new strategies. The firm was founded by individuals who spent time at top firms across the industry and they offer a collaborative environment plus the opportunity to make an impact immediately. Responsibilities: • Research, backtest, and deploy systematic MFT futures strategies, • Actively monitor and manage trading algorithms to ensure profitability and manage risk, • Create new futures trading strategies to increase desk profitability and capture market share, • Work collaboratively with developers and researchers on areas that can be improved, • Analyze market trends and operational data to identify trading opportunities Qualifications: • Quantitative trading experience plus a proven futures trading track record at a trading firm, • Proven success in a mid-frequency trading environment, • BSc, MSc, or PhD in Computer Science, Statistics, Mathematics, or Physics A generous total compensation package is on offer plus high % pnl split. This is an urgent requirement and the firm are looking for the successful candidate to start asap.

Oliver Wyman Actuarial – Senior Consultant – UK Life Office: London Company Overview Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialised expertise in strategy, operations, risk management, and organisation transformation. The Actuarial Practice of Oliver Wyman provides customised actuarial services and strategic insight, supporting clients as they strive to exceed their business objectives. Our exceptional client and employee retention exemplify our commitment to relationships built on trust, responsiveness, and clear communication. Oliver Wyman is currently growing its Actuarial department and seeking Actuaries (partially or fully qualified) to join the UK team. This position requires the candidate to work closely with our wider management consulting team, as well as our actuarial teams across Europe and other regions, to independently analyse complex problems and develop innovative solutions for our clients. Job Description You will work alongside, and learn from, Oliver Wyman’s industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wyman’s clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, regulators, private equity firms and many more. You will also have the chance to take the initiative and lead on new and emerging ideas, leveraging the wider Oliver Wyman and Marsh businesses. Potential projects may include: • Capital and financial reporting, leveraging the tools available and developed by Oliver Wyman globally. This will also cover capital optimisation, IFRS 17 and understanding the latest regulatory changes, • Risk management and support, including validation, risk appetite reviews and oversight, as well as emerging practice on climate risk, • New business propositions and life and PRT/ annuity product development including modelling, valuation analysis and strategy support, • Mergers & acquisitions due diligence including assumption review, management support and strategy, model build, and development of projected UK statutory distributable earnings, Actuarial Appraisal Values and so on, • Transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow, • Actuarial model conversions and optimisation and help clients undertake wider actuarial transformation, • Client and industry presentations, surveys, case studies and wider marketing support and business development including managing proposals, tenders and other stakeholder management, • Development and maintenance of intellectual capital, including involvement with the latest data science techniques and cutting edge methodologies from quantitative finance, • Supporting other business lines within the Marsh family as we continue to build integrated solutions for our clients Skills and Attributes • Bachelor’s or Master’s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field, • Minimum 3 years of relevant Life Insurance actuarial experience, • Either part or fully qualified actuary (FIA or equivalent), • Knowledge of finance and/or risk management topics, including technical aspects such as Solvency II internal models, ORSA and IFRS 17, • Knowledge of finance and/or risk management topics, including technical aspects such as Solvency II internal models, ORSA and IFRS 17, • Understanding of the insurance industry and the challenges faced by our clients, • Highly motivated and willing to work in a dynamic environment, • Strong background in problem-solving with demonstrable analytical skills, • Outstanding written and oral communication in both formal and informal settings, • Self-starter, strong initiative and the ability to take the lead where appropriate, • Experience in reinsurance, capital, and M&A projects is also highly desirable WHY WORK AT OLIVER WYMAN? Working as part of our global, entrepreneurial company, you will do meaningful work from day one. We are looking for individuals who challenge the norm, and constantly strive to build something new for the firm and the world around us. There's no "one size fits all" - we hire exceptional people and help them thrive through a built-in support network, flexible career paths, and no barriers to advancement. We have a collaborative, supportive and impactful team environment - we want you to bring your authentic self to the team and enjoy working alongside diverse and down-to-earth colleagues who do serious work, but who enjoy what they do. At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments. As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue of $27 billion and more than 95,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.

The Role Senior Portfolio Manager/ multi-asset class & Global Macro Investment Strategies Investment Professional Our client is a small Mayfair based Investment boutique specialising in multi-asset investment strategies across “Global Macro Investment Strategies.” The investment approach is research-driven and conviction-led, combining macroeconomic insight with disciplined risk management and operational excellence. The firm is seeking an experienced and commercially minded “Portfolio Manager” to join its investment team in London. This is a senior appointment offering significant responsibility across portfolio construction, active trading, risk management, operational oversight, and strategic development. The successful candidate will combine strong market judgement with technical expertise and a proven ability to identify, analyse, and resolve trading and operational issues within a dynamic investment environment. Collaboration is central to the culture. The role would suit an individual who values teamwork, shared ideas, and collective success rather than purely individual performance. Please note that the role is London based, but there is also a chance that the role could move to either the US, or even Dubai, so our client is looking for someone who has that flexibility to potentially relocate in the future. In addition, our client operates a mainly 5-days per week policy in the office, with some “working-from-home.” Key Responsibilities Investment & Portfolio Management • Generate high-conviction investment ideas across multiple asset classes including Cash Equities, Fixed Income, Foreign exchange, derivatives, and macro instruments., • Manage day-to-day trading activity, ensuring accurate and timely execution in line with investment mandates., • Monitor global markets, macroeconomic developments, and geopolitical events to identify investment opportunities and risks., • Proactively identify and resolve trade-related issues, including pricing discrepancies, allocation errors, and settlement breaks., • Contribute to portfolio construction, rebalancing decisions, and risk-adjusted return optimisation. Risk Management • Monitor portfolio risk exposures and contribute to the firm's risk management framework., • Escalate material risks, concentration issues, and stress scenarios to senior stakeholders., • Support stress testing, scenario analysis, and drawdown assessments. Technology & AI Implementation • Lead the implementation of AI and machine learning solutions across investment, trading, and operational functions., • Act as a key stakeholder for technology initiatives, translating business requirements into clear technical specifications., • Identify opportunities where technology can enhance investment decision-making, operational efficiency, and risk management., • Manage relationships with technology vendors, data providers, and external partners., • Support the adoption of new systems through training, change management, and post-implementation review., • Remain informed on developments in financial technology, AI applications, and data infrastructure. Trading Infrastructure & Operational Improvement • Review and enhance trading systems, workflows, and operational processes., • Identify inefficiencies and recommend improvements to increase robustness, speed, and accuracy., • Produce clear analysis and recommendations for senior management., • Contribute to the development of trading processes, risk practices, and operational frameworks. Strategic Contribution • Participate in broader discussions relating to investment strategy and business development., • Liaise effectively with investment, operations, compliance, and external counterparties., • Support investor reporting, due diligence exercises, and other strategic initiatives where required. Candidate Profile Experience & Qualifications • 8–10+ years' experience within portfolio management, trading, or investment roles within Asset Management, Hedge Funds, or Proprietary Trading environments., • Demonstrable track record of generating and managing investment ideas across multiple asset classes., • Strong understanding of trade lifecycle management and the ability to identify and resolve trading or operational issues., • Deep knowledge of market structure, execution practices, and investment risk management., • Experience implementing technology, AI, or data-driven solutions within investment environments., • Exposure to investment systems including OMS/ EMS platforms, risk systems, and portfolio analytics tools., • Familiarity with modern data infrastructure and workflow automation technologies., • Experience with LLMs, AI workflows, or financial research automation would be advantageous., • Degree in Finance, Economics, Mathematics, Engineering, Computer Science, or a related discipline., • CFA or equivalent professional qualification preferred. Skills & Competencies • Strong analytical and problem-solving capability., • Exceptional attention to detail and the ability to identify inconsistencies or risks quickly., • Commercial and technically minded, with the ability to work effectively across investment and technology teams., • Excellent communication and presentation skills., • Proven ability to manage projects and drive change initiatives., • Collaborative approach with a team-oriented mindset., • Ability to build trusted relationships across internal and external stakeholders., • Adaptable, intellectually curious, and comfortable operating within a fast-paced environment., • Fluency in English is essential; additional European languages would be advantageous. The Opportunity • Senior, high-impact role within a specialist investment management environment., • Direct involvement in investment decisions and strategic initiatives., • Collaborative and intellectually stimulating culture., • Competitive compensation package commensurate with experience., • London-based position with occasional travel as required. Applications will be treated with the strictest confidence. Compensation Highly competitive.