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A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents. With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions. “Rethink Everything” is our philosophy – it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients. Lombard Odier Investment Managers (“LOIM”) is the asset management business of the Lombard Odier Group. In order to strengthen our Investment Risk team, we are looking for a: Investment Risk Data Analyst You will join a global business of more than 400 investment professionals and a network of 13 offices across Europe, Asia and North America. You will report to the Global Chief Risk Officer and support the Risk function by managing and analyzing data across platforms such as Bloomberg PORT and MARS, while ensuring data quality, developing risk analytics, and enhancing automation in risk management. The role can be based in Geneva, London or Luxembourg. YOUR ROLE * Engagement with LOIM Investment Risk Managers and other primary stakeholders to design, develop and implement clear analytical solutions across all asset classes * Take ownership of risk and performance dashboards and underlying data sourcing processes * Help drive the migration of existing processes to automated processes and platforms in line with the team vision to increasingly leverage Artificial Intelligence. * Management of existing data sets, ensuring the analytics tools are correctly sourcing data from data sources external to the immediate team * Maintaining risk calculations and process feeds to external calculators * Respond and prioritize ad-hoc requests for information as they arise * Challenge existing processes and data feeds with the wider LOIM-IT and data community YOUR PROFILE * You hold a Degree in Mathematics, Data Science, Finance or Statistics, * You have experience in data analysis of large-scale, distributed data sets, in process automation * You are interested in the financial industry and have domain knowledge of investment and securities and/or Artificial Intelligence applications. * Understanding of risk management concepts including VaR, stress testing, and scenario analysis. * You have the ability to challenge and provide supportive criticism * You are familiar with BI tools (ie Tableau), process workflow automation tools (ie Alteryx), programming languages (Python). * You have strong analytical and data manipulation skills and excellent statistical modelling skills * Autonomous and self-motivated, you pay strong attention to detail. * Flexible and results-oriented, with excellent problem-solving skills. Our Maison’s DNA is defined by five core values. Excellence drives us to be the best at what we do, while Innovation fuels our progress. Respect underpins every interaction, and Integrity shapes our actions. Together, we are One Team, united in serving our clients with unwavering dedication. As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. Diversity, Equity and Inclusion are woven into the fabric of our Maison’s DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy. It is an exciting time to join our Teams. All applications will be handled in the strictest confidence.

Our teachers are fulfilled by the idea of making even the smallest positive changes in our young people, so we celebrate the little things. There’s lots of ups and downs, and to some of our young people, sitting through a lesson can be a big win. We call these huge small victories and whilst they may seem small on the surface, they add up to make a big difference. You’ll be working with children and young people with Autistic Spectrum Disorder/Social, Emotional and Mental Health needs. You’ll be there to help them learn, develop their abilities and raise their self-esteem. You will need to be resilient and dedicated, but those huge small victories that you achieve will be something you’re really proud of. It can be a tough journey, but the positive steps forward will more than make up for it. As a Teacher at Witherslack Group, you’ll get all the support you need to succeed, from in-house psychologists, to teaching assistants and therapy professionals. Your colleagues will be the best at what they do, the school environments will be well-resourced and we’ll be with you every step of the way, helping you build a rewarding teaching career. Luxborough Court School is a brand-new, purpose-built school registered for 150 pupils aged 5 – 19 with Autistic Spectrum Disorder. There is a large sports hall with changing facilities (the site was formally a Premier League football club’s training ground), a bespoke 6th form suite plus a number of other smaller individual spaces used for therapeutic intervention and bespoke support. The School benefits from extensive outdoor space plus a large central courtyard garden in the centre of the school and separate secondary and junior playgrounds, with a multi-use games area. We know you’re going to do great things. For your hard work and commitment, we reward you with the best salary and benefits package in the education sector. With us, you’ll get to bring learning to life and make a genuine difference to the lives of our young people – plus you’ll get: * Training: A full induction and on the job training * Holiday: You’ll work hard at WG, so you’ll be rewarded with full school holidays * Progression: If career development is your thing, most of our head teachers and leaders have been promoted from within our group * Flexible benefits: meaning you can increase/decrease benefits such as life insurance – check out our benefits ___ * Pension: we offer a range of pensions to suit your lifestyle needs including Teachers’ Pension and our very attractive TPS alternative * Wellbeing: a host of wellbeing tools and advice including employee assistance * Medical cover so you can claim back the cost of things like an opticians or dentist appointment and a host of high-street discounts * Beautiful working environments with the very best facilities – check out our schools ___ * A recommend a friend scheme that offers a £1,000 bonus every time Our young people come from all walks of life, diverse backgrounds and with different needs – and our workforce reflects that diversity, so that our teams can engage, encourage and inspire our young people to be themselves. You’ll be more than a Mathematics Teacher, you’ll be able to connect with our pupils because of: • Your ‘can do’ attitude – a team player who rolls up their sleeves to help others, • Your genuine passion for Mathematics and the impact your subject can have on young lives, • The ability to relate your subject to each pupil and build great relationships with your class, • Your enthusiasm and expertise to build your department, • You’ll also need previous teaching experience and have Qualified Teacher Status Our young people deserve the best possible future and we feel the same about our teams. You deserve to have the career you want, with a purpose-led employer, in an environment that allows you to be yourself. The Witherslack Group is committed to safeguarding and promoting the welfare of its young people. This post is subject to an enhanced DBS check (we will cover the cost) and an online search. We are an equal opportunities employer welcoming applications from all sections of the community. For a full job description and person specification, please click ___ To view our ex-offenders policy please click ___. To view our Child Protection Policy, please visit the 'Parents and Carers' section of this School/Learning centre. You can find all our Schools ___. Special Education / Careers in Care / Careers in Special Education / Working with Children / SEMH / SEN / ASD #INDH

Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. \n You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. \nJob Purpose\n Within the Quantitative Finance team of the Risk Consulting department, you will interact mainly with banks on a variety of projects related to Market Risk, Counterparty Credit Risk, Credit Risk and Climate Risk. You will hold or about to hold a master's degree in Quant Finance, Mathematics or Statistics. \nJob Role\n\n • Contribute in small and large-sized multidisciplinary engagement teams delivering quantitative finance projects for clients\n, • Cross-asset derivative pricing including valuation adjustments (XVA). Calibration of models using best industry practices\n, • Model validation for small to large size clients, for quantitative risk management models such as (PD/LGD, VaR, Expected Shortfall, EPE/PFE)\n, • Implementation review of accounting standards such as FRTB, IFRS9, CECL\n, • Development of internal pricing libraries and tools (e.g. C/ECL, stress testing)\n, • Oversee summer internship projects\n, • Contribute to Mazars' regulatory watch activities by writing articles or providing technical content\n, • Support business development by preparing client proposals\n, • Help with administrative tasks (such as training and recruitment)\n\nPerson Specification\n\n, • Must have experience in credit risk modelling (IFRS 9, IRB modelling)\n, • Holds a 2.1 or above Master's degree in a quantitative discipline e.g. mathematics, statistics, quantitative finance\n, • Advanced knowledge in derivative pricing, quantitative risk management (covering credit, market and counterparty risk), stochastic calculus, modelling, statistics and probabilities\n, • Strong significant experience either in derivative pricing, credit (PD and LGD modelling) and market (VaR, Expected Shortfall, FRTB) risk modelling\n, • Strong experience in either of Python, R or C++\n, • Ability to work in a team\n

Sponsor-dedicated JOB DESCRIPTION Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. Position Overview As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials. This role can be performed as fully remote. Our values • We believe in applying scientific rigor to reveal the full promise inherent in data., • We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery., • We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities., • We prize innovation and seek intelligent solutions using leading-edge technology. Responsibilities How you will contribute: • Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming, • Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs), • Production and QC / validation programming, • Generating complex ad-hoc reports utilizing raw data, • Applying strong understanding/experience of Efficacy analysis, • Creating and reviewing submission documents and eCRTs, • Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries, • Performing lead duties when called upon, • Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc., • Being adaptable and flexible when priorities change Qualifications Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have: • Bachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc., • At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above., • Study lead experience, preferably juggling multiple projects simultaneously preferred., • Strong SAS data manipulation, analysis and reporting skills., • Solid experience implementing the latest CDISC SDTM / ADaM standards., • Strong QC / validation skills., • Good ad-hoc reporting skills., • Proficiency in Efficacy analysis., • Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials’ data., • Submissions experience utilizing define.xml and other submission documents., • Experience supporting immunology, respiratory or oncology studies would be a plus., • Excellent analytical & troubleshooting skills., • Ability to provide quality output and deliverables, in adherence with challenging timelines., • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution—because the best ideas take time to evolve. Together, we’re building a world-class platform to amplify our teams’ most powerful ideas. Every breakthrough is built on strong foundations. In our Storage Development Operations team, you’ll work across disciplines to drive the strategy, culture and structure that enable our success. This is a role based in our new Soho Place office – opened in 2023 – in the heart of Central London and home to our Research Lab. The role Location: London Dates: 13 July 2026 – 16 July 2027 The Storage Platform Management team is responsible for designing, deploying and operating a diverse range of storage solutions. These include high-performance scale-out clusters, block storage, object storage and archival systems, all of which underpin the research and compute environment at G-Research. As a Placement Year DevOps Storage Engineer, you will partner with Researchers, Software Engineers, Network teams and leading vendors, including Dell, VAST, HPE and Rubrik, to optimise workflows and resolve issues. For students with strong coding expertise, there is also the opportunity to contribute to the team’s development backlog, focusing on automation, customer-facing tools and observability enhancements. Key responsibilities of the role include: • Monitoring and troubleshooting events affecting platform health, • Conducting deep-dive investigations and supporting incident management, • Analysing HPC workflows used by Research teams to identify opportunities for efficiency, • Operating, maintaining and extending Infrastructure-as-Code (IaC) pipelines and storage tooling Who are we looking for? We are seeking a motivated and capable student currently enrolled in a Computer Science, Mathematics or related degree programme with a placement (sandwich) year, graduating in 2028. The ideal candidate will have the following skills and experience: • A predicted grade of 2:1 or above, or equivalent, • Interest in building and managing high-performance, scalable and resilient infrastructure solutions, • Linux system administration experience, • Proficiency in Python, or similar programming languages, • Strong interest in GitOps and Infrastructure-as-Code (IaC), with exposure to tools such as Ansible, Jenkins and Kubernetes, • Excellent communication skills, with the ability to collaborate effectively across distributed teams and the wider business Application process • Successful applicants at CV stage will be invited to complete a technical assessment, • Those who pass will attend an assessment centre followed by technical interviews with mentors Why should you apply? • Highly competitive compensation plus annual discretionary bonus, • Lunch provided (via Just Eat for Business) and dedicated barista bar, • 30 days’annual leave, • 9% company pension contributions, • Informal dress code and excellent work/life balance, • Comprehensive healthcare and life assurance, • Cycle-to-work scheme, • Monthly company events

About Bp As a leading global energy company with a presence in 61 countries, bp’s purpose is to deliver energy to the world, today and tomorrow. Across the bp landscape, we’re home to a range of brands across many areas of our industry. We are one of only a few companies that can deliver energy at global scale through a decades-long energy transition. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner. About Bp Shipping Cadets Picture yourself cruising the oceans on a multi-million-dollar Tanker, transporting commodities all over the world. And you could become a fully trained officer with internationally recognised qualifications in just three adventure-filled years. We will pay your exam and course fees and give you a generous allowance (starting at £11,000 per year) to help you enjoy your journey. Opportunity Information Hot and frenetic, the engine room is the beating heart of any ship. Our training will teach you about the ship’s main engines and how to run and maintain the mechanical equipment on board. You will split your time between maritime college and sea. At college you will learn about workshop skills, engineering science, analytical methods, pneumatics and hydraulics, instrumentation & control principles, marine electrical systems, diesel propulsion and more. When at sea you will work day shifts and sometimes support watch keeping in the engine room. It means handling anything from stripping an engine and inspecting components, to following the path of water, oil or steam through the ship. You will be dealing with large machinery, so safety is critical. As an officer, you will also be in charge of the safety of all staff in the engine room. This opportunity involves day/night shift work, so you need to be flexible in working hours. • Please note: this opportunity will not be based at the bp Sunbury office Minimum Entry Level Requirements • 56 UCAS points (or equivalent) and 4 GCSE’s at grade B / 6 (or above) must include Mathematics, a Physical Science, English, • Or successful completion of a maritime/engineering HNC or HND plus GCSE (**or equivalent as approved by the college) grade 4 / grade ‘C’ or above in all the following subjects: mathematics , science and English language, • Must be 18 years old by 1st September 2026, • Applicants normal place of residency is in the UK, • Applicants need to pass an industry-standard medical examination and background checks in order to complete a placement at sea What will you gain after completion of programme This Will Depend On What Qualifications You Already Hold. Once trained and qualified, you will have a UK foundation degree or college diploma in marine engineering and an engineer watch keeping officer certificate of competency from the Maritime and Coastguard Agency (MCA). Depending on your academic qualifications you may have the opportunity to complete a BSc (Hons) in Marine Engineering. Your growth is important to us. After all, it’s our team’s dedication and expertise that help us achieve and develop. You will find a culture where learning’s encouraged, with all manner of training available. Becoming a trained officer is only the start. From here, once you qualify as a Engineering Officer, you can pursue career opportunities to progress up the ranks to a Gas Engineer, 2nd Engineer and even Chief Engineer. Other Information Please Note The Following When Applying • You can only apply to one bp early careers opportunity globally per academic year – within this time, we will only process the first application you make. You will be withdrawn from any subsequent applications., • Assessment centres are a key part of the assessment process and will be in person – bp will cover reasonable travel and accommodation costs, in line with the travel policy which will be shared with you. Please ensure you will be available to attend in person - the in person assessment is likely to take place early February 2026, • Accommodation – once confirmed, where you need or decide to move closer to your location, you are responsible for organising and funding this accommodation. Adjustments We Are Keen To Make Our Selection Process Accessible To All. If You Require Any Adjustments, To Any Stage Of The Selection Process, Please Mention This In The Allocated Section On Your Initial Application Form. Someone Will Then Be In Touch To Discuss Or Confirm The Adjustments As Appropriate For You. Alternatively, If You Would Like To Discuss Adjustments Before Applying, Please Get In Touch T: +44 1635 584149 E:

Job Description: Job Title: Quantitative Analyst – Quantitative Developer Corporate Title: Assistant Vice President Location: Bromley Company Overview: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Location Overview: Join our bustling Bromley office, situated in one of London’s greenest boroughs. Here you’ll find plentiful and easy commuting routes, with central London just 15 minutes away by train. The Team: Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with all the Lines of Business and Enterprise functions. GRA and EIT include vertical (i.e., business or risk-specific) functions and horizontal functions that cut across business and risk-types. A core pillar of our horizontal strategy is developing common, reusable, and scalable components that can be used across GRM. Quantitative engineers will be responsible for executing on this strategy. Role Description: As a Quantitative Finance Analyst – Quantitative Developer, your primary focus will be developing, maintaining and testing quantitative risk models, used by Global Markets. You should expect to contribute to the three main focuses of the team: • Process Automation: improving efficiency and reducing operational risk, • Full Revaluation VaR: providing support and in-depth analysis for the Full Revaluation VaR and FRTB IMA programmes, • Strategic Risk Platform: advising and collaborating with teams across the wider organisation to centralise and better manage risk models and data The team focuses on developing and testing new models/ systems so a pro-active, innovative approach is key. Further, you will often be asked to bring your technical expertise to other projects, requiring strong collaboration and communication skills. Responsibilities: • Work at the interface of Technology and Risk Quants, • Collaborate with a broad number of stakeholders across the Bank, • Produce production quality code to develop and maintain quantitative risk models, • Clearly communicate outcomes to stakeholders and senior management, • Improve efficiency and reduce operational risk across projects, • Take ownership of systems and changes, • Deliver in-line with the team’s priorities, GRA’s strategy and stakeholder’s requirements. What we are looking for: • Bachelor’s/MSc degree or equivalent with a quantitative emphasis in areas such as mathematics, engineering, or computer science, • Previous exposure to derivatives pricing and/or Market Risk, • Excellent programming ability in Python including good understanding of object oriented programming principles, coding standards, test driven development, etc, • Prior financial experience, preferably within a large investment bank, • Strong communication skills and ability to work in a collaborative environment, • Self-motivated, pro-active and an able to run with issues, • Strong attention to detail, intellectual curiosity and commitment to excellence., • A team player who can work with colleagues with different experience and backgrounds Skills that will help: • Python programming experience at a large, multi-national bank, using platforms such as Quartz, Athena, SecDb, etc., • Experience with large dataset tools incl. relational databases, SQL and Tableau, • Experience developing, testing or maintaining Risk models such as VaR, FRTB or CCAR, • Familiarity with pricing models Benefits of working at Bank of America: UK • Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner, • Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons, • 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum, • The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness etc., • Access to an emotional wellbeing helpline, mental health first aiders and virtual GP services., • Access to an Employee Assistance Program for confidential support and help for everyday matters, • Ability to donate to charities of your choice directly through payroll and the bank will match your contribution, • Opportunity to access our Arts & Culture corporate membership program and receive discounted entry to some of the UK’s most iconic cultural institutions and exhibitions., • Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community. Bank of America: Good conduct and sound judgment is crucial to our long term success. It’s important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well. We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian’s low-code platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. This role is based at our European HQ in London. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. To Be Successful In This Role, You Need: • Passion for mentoring/developing others and experience leading small teams through post-sale software implementation, • Ability to work with clients to define business processes and gather functional and technical system requirements, • Excellent communication skills, passion for technology and continuous learning, and affinity for asking “why” and solving the right problems, • History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints), • Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc), • Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications: • 3+ years of experience with hands-on software development or technical consulting, • B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree, • Willingness to travel; 20% to support customer engagement Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We’ll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences. For more information, visit___. [Nasdaq: APPN] Follow Appian:. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. ___Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We’ll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led ___. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences. For more information, visit___. [Nasdaq: APPN] Follow Appian:___. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Software Integration Engineer – Mission Systems Location: London, UK or Linköping, Sweden Industry: Aerospace / Defence / ISR / UAV Systems Employment Type: Full Time Overview: A leading innovator in spatial intelligence and mission-critical technology is seeking a Software Integration Engineer to join its Mission Systems team. The organisation builds advanced geospatial, AI-powered, and ISR solutions that integrate into platforms such as UAVs, edge computing systems, and defence environments. This is a hands-on, customer-facing engineering role for someone who enjoys solving complex integration challenges, working with cutting-edge sensor data, and enabling real-world impact in mission environments. You will work at the intersection of software, embedded systems, payload integration, and customer operations, supporting the deployment of next-generation spatial intelligence tools into UAV and ISR ecosystems. Key Responsibilities: • Serve as the technical lead for solution integrations involving satellite imagery, full motion video, and related sensor data into UAV visual positioning, odometry, and navigation systems., • Collaborate with UAV OEMs, defence integrators, and mission customers to support system demonstrations, prototyping, and field testing., • Conduct bench and field integration activities, including configuration of companion computers (e.g., NVIDIA Jetson, Raspberry Pi), autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and navigation data., • Assess integration feasibility, including SWaP considerations and solution design, ensuring successful deployment in demanding environments., • Develop integration procedures, test plans, troubleshooting documentation, and technical guides., • Provide feedback to internal engineering teams to enhance product performance, usability, and reliability under operational conditions., • Contribute to technical materials for RFP/RFI responses and solution proposals., • Collaborate with internal product, engineering, and field teams to define interfaces, data flows, and integration paths between software products and OEM systems., • Support the technical articulation and positioning of capabilities to high-value customers. Minimum Qualifications: • Bachelor’s degree in a STEM field (Aerospace, Computer Science, Electrical/Mechanical Engineering, Mathematics) or equivalent practical experience., • Experience supporting ISR, UAS, aerospace, or defence system integrations., • Strong proficiency in Python and C++ for integration, SDK adaptation, and prototype development., • Experience with ISR-relevant imagery/video formats: GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, MISB., • Understanding of 3D terrain formats (DEM/DTED, 3D Tiles) and coordinate systems such as WGS84, UTM., • Familiarity with frameworks/tools such as OpenCV, PyTorch, GDAL, Cesium, Unity., • Practical knowledge of embedded Linux systems (Jetson, Raspberry Pi, NXP)., • Demonstrated ability to work cross-functionally across product, engineering, and field teams., • Ability to travel domestically or internationally (approx. 25%, occasionally up to 50%). Preferred Qualifications: • Master’s degree in Engineering, Computer Vision, Software Engineering, or related field., • Experience with embedded Linux tools/configurations: systemd, Yocto, Docker., • Knowledge of GNSS/INS, video odometry, or visual-inertial fusion systems., • Experience with UAV systems, including configuration, tuning, and troubleshooting with autopilot interfaces., • Familiarity with OGC geospatial standards (WMS, WMTS, WFS) and real-time streaming protocols., • Experience with data transport frameworks such as ZeroMQ, Protobuf., • Hands-on experience building or modifying companion computer architectures (Jetson, Raspberry Pi, STM32MP1)., • Background in AI/ML for computer vision, sensor fusion, or ISR analytics., • Experience performing technical feasibility assessments for mission-critical or edge-deployed systems., • Valid UK or EU security clearance is a bonus. About the Organisation: The company operates at the forefront of geospatial technology, 3D modelling, and mission-focused intelligence solutions, serving telecommunications, emergency response, defence, and intelligence customers globally. Their mission is to help operators and decision-makers understand the world in real time with highly accurate, immersive geospatial and sensor-driven insights. Application Process: To apply, please submit your CV detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: ___

Are you a LaTeX expert fluent in Spanish (Spain) eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, enhance academic publishing, and streamline document preparation for researchers and professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for LaTeX specialists who live and breathe document typesetting, mathematical formatting, bibliographic management, package customization, template development, and cross-referencing techniques. You’ll challenge advanced language models on topics like complex equation formatting, multi-language document support, Beamer presentations, TikZ graphics, package troubleshooting, and collaborative editing workflows—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on document preparation scenarios and theoretical LaTeX questions, verify formatting accuracy and logical consistency, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor’s or master’s degree in Computer Science, Mathematics, Physics, or a closely related field is ideal; professional experience in academic publishing, technical writing, or scientific communication signals fit. Clear, metacognitive communication—“showing your work”—is essential. Fluency in Spanish (Spain) is required. Ready to turn your LaTeX expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8‑to‑$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Job title: Master - LaTeX Specialist (Fluent in Spanish - Spain) – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid‑Senior Level

Our mission We're making Africa the first cashless continent. In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash. We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across 9 countries and are growing fast. Our goal is to make Africa the first cashless continent and that's where you come in... How you’ll help us achieve it Wave is now the largest financial institution in Senegal and Côte d'Ivoire, with millions of users, growing rapidly year-on-year. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives. We’re looking for an experienced Data Scientist and help grow and strengthen our user base. You’ll work on high-impact use cases with millions of users, such as optimizing our existing scratch card rewards program or designing and launching entirely new initiatives from scratch. The technical challenges range from crafting simple heuristics when data is sparse to applying advanced techniques like geospatial analytics, network analysis, and uplift modeling. You’ll own the full cycle: defining the right approach, implementing it, and shipping it in production. This role is highly experimentation-driven: you’ll be able to rapidly test ideas, learn from real user feedback, and iterate quickly. We’re looking for someone who is product-minded, hands-on, and pragmatic: a data scientist who sees beyond models and algorithms and thinks deeply about how data connects to intuitive user behavior and real-world impact. In This Role You’ll • Be part of a multidisciplinary team, working with engineers, data analysts, economists and a product manager., • Focus on advanced analytics and machine learning problems, delivering them end-to-end independently., • Prioritise work and shape your own approach in a way that maximises the positive impact on both users and the business., • Engage not just with business metrics, but also collaborate closely with Operations teams to understand the real-world outcomes and impact of your work. Key Details • You can work remotely from anywhere (between UTC -5 and +2) with reliable Internet access., • Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $1,200 to meet with coworkers., • Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $149,200 USD (paid in your local currency equivalent), plus a generous equity package., • Major benefits:, • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country)., • 6 months of fully paid parental leave and subsidized fertility assistance., • Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays., • $10,000 annual charitable donation matching. Requirements, • Education and Experience, • Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A Master's or PhD is a plus., • 4+ years experience in applied data science or similar experience., • Demonstrated experience with data analysis, machine learning and product A/B tests., • Experience in using advanced analytics for optimising targeting, rewards or incentive programs is a big plus., • Technical skills, • Proficiency in applying machine learning methods to solve business problems., • Very strong Python skills with expertise in data manipulation, analysis and machine learning. Must be comfortable writing code that runs in production., • Competent in SQL., • Solid foundation in probability and statistics. You might be a good fit if you, • Thrive on spotting key problems and finding the fastest, most effective solutions., • Enjoy and excel at working on machine learning and statistics problems., • Quickly build and validate proof-of-concept solutions, refining based on real-world feedback., • Prefer pragmatic approaches but apply complex methods when the impact is worth it., • Work iteratively, knowing when a project is “good enough” to avoid over-polishing., • Communicate insights clearly to all audiences and make confident, data-driven recommendations. Our team • We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, Uganda, Niger, Sierra Leone, and Cameroon plus remote team members spread across the world., • We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most., • We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production., • We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa., • We are on Y Combinator's top companies by revenue . How to apply Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role. We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals. Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Sponsor-dedicated JOB DESCRIPTION Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. Position Overview As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards. This role can be performed as fully remote. Our values • We believe in applying scientific rigor to reveal the full promise inherent in data., • We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery., • We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities., • We prize innovation and seek intelligent solutions using leading-edge technology. Responsibilities • Data analysis and programming:, • Write, document, and maintain code in programming languages like R, SAS., • Transform raw data into standardized, analysis-ready datasets., • Perform statistical analysis and generate visualizations from pre-clinical and clinical study data., • Data management and quality:, • Organize, manage, and ensure the quality of biomarker data., • Coordinate with external vendors and labs to resolve data issues and reconcile vendor data., • Maintain integrated tracking and inventory logs for biological samples., • Study design and strategy:, • Participate in the design and planning of studies related to biomarkers., • Contribute to the development of biomarker strategies and biomarker analysis plans., • Provide statistical expertise for the development of diagnostic biomarkers., • Collaboration and communication:, • Work with cross-functional teams, including R&D, clinical operations, and statisticians., • Collaborate with stakeholders to define data specifications and requirements. Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have: • Bachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc., • Technical skills:, • Proficiency in programming, especially with statistical software like SAS or R, and database languages like SQL., • Experience with statistical analysis, data visualization, and modeling., • Familiarity with analyzing large, complex datasets, such as omics data (e.g., genomics, proteomics) is a plus.

Description Join our team as an Executive Compensation Associate and work alongside some of the industry’s leading consultants on high-impact client projects. From day one, you’ll gain hands-on experience with real assignments that challenge your analytical thinking, business insight, and problem-solving skills. You’ll play a key role in collecting and interpreting data, presenting findings, and shaping strategies for top-tier clients. Along the way, you’ll build deep technical expertise through structured learning tailored to your role—all while developing a strong foundation in executive compensation and the broader industry landscape. The Role Excellence • Develop technical knowledge and skills in the area of Executive Compensation, • Deliver on projects to meet or exceed internal or client expectations, • Contribute to sales and marketing efforts by supplying information for proposals, • Apply financial rigour through accurate time recording and invoicing Clients • Partner with consultants and clients to design strategies to attract, reward and retain talent, • Help our clients ensure that their executive reward programs are competitive by performing competitive benchmarking analyses, • Perform industry and financial research related to compensation strategy and design, • Develop pay structures and incentive designs that help support companies’ business strategies, • Value equity awards through the application of financial formulas, • Participate in the design and conduct of custom compensation surveys, • Assist clients in their review and preparation of public disclosures, regulatory filings and plan documentation, • Identify competitive best practices and emerging trends in executive compensation; monitor evolving regulatory, legislative and shareholder developments and report issues that may impact the client’s approach to compensation strategy and design, • Increase efficiency within client teams by identifying ways to improve processes People • Build relationships internally and collaborate effectively on cross-functional teams Qualifications The Requirement Technical • Experience as a compensation Associate, a genuine interest in this field as well as the ability to do the following:, • Conduct custom compensation surveys, • Perform industry and financial research related to compensation strategy and design, • Perform analyses of competitive compensation levels, • Develop pay structures and analyzing the mix between fixed and variable pay, • Learn incentive plan design, • Value stock option grants, • Advanced MS Excel skills required, • A problem solver; able to identify and solve challenging problems, • Analytical; able to draw conclusions from data in a logical, systematic way, • Conceptual; ability to go beyond the detailsn and see the big picture, • Results-driven; focused on achieving results that promote business success, • Communicator; displays strong oral, written and public speaking skills, • Organized; able to work and think in a methodical and orderly way, • Committed to quality; continuously works to achieve the highest quality standards, • Ability to carry out assignments with minimal supervision, • Ability to manage own workload efficiently to full fill commitments in a timely manner Qualifications • Bachelors or Masters degree in economics, finance, mathematics, statistics or any other major with significant quantitative course work, and a strong academic record Equal Opprtunity Employer At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organization. We embrace all types of diversity.

Job Description Job description At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. Position Overview We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights. What You'll Do • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare), • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn), • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks), • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction, • Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility, • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency, • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations), • Incorporate big data processing scenarios requiring scalable computational approaches, • Verify solutions using Python with standard data science libraries and statistical methods, • Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) • Business Analytics & Predictive Modeling, • Customer segmentation, churn prediction, and CLV modeling algorithms, • Fraud detection with precision-recall optimization, • A/B test statistical calculations and experimental design, • Cohort analysis and retention rate computations, • Model evaluation metrics and performance optimization, • Statistical Analysis & Data Processing, • Hypothesis testing with multiple comparison corrections, • Causal inference: propensity score matching, difference-in-differences, • Complex ETL pipeline logic and multi-source data integration, • Missing data imputation and outlier detection algorithms, • Feature engineering: encoding, interactions, dimensionality reduction, • Time Series & Forecasting, • Trend decomposition and seasonality detection, • Stationarity testing and autocorrelation calculations, • Forecast accuracy metrics and moving average computations, • Optimization & Operations Research, • Resource allocation and constraint satisfaction problems, • Cost-benefit analysis and capacity planning optimization, • Network analysis and supply chain calculations, • Database & Mathematical Foundations, • Complex SQL query optimization and window functions, • Probability computations for business scenarios, • Linear algebra operations and matrix factorization, • Information theory metrics (entropy, mutual information) Education & Core Experience • Advanced degree (Master's or PhD) in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field, • 5+ years of hands-on data science experience with proven business impact, • Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills • Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels), • Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications, • SQL and database operations for data manipulation and analysis Modern AI/ML (Highly Valued) • Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases), • Understanding of MLOps practices and model deployment workflows, • Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) Professional Skills • Ability to design problems reflecting real-world business scenarios and industry challenges, • Strong analytical and problem-solving skills with attention to detail, • Experience translating business requirements into technical solutions, • Clear technical writing and documentation skills, • Proficient in English for problem creation and communication Preferred Qualifications • Cross-industry experience (finance, telecommunications, healthcare, technology), • Research background with publications or case studies, • Teaching, mentoring, or training experience, • Professional certifications in data science or machine learning Compensation Task-based compensation. Application Process Please submit: • CV/Resume highlighting ML research or engineering background, • Domain knowledge test, • Python test, • Interview

Macquarie Asset Management is a leading global asset manager across public and private markets, managing approximately A$941 billion for institutions, governments, foundations and individuals. With a strong position in private markets and alternatives across real assets, real estate, credit and insurance, we pair operating expertise with proprietary data. Our Data Science, Analytics and AI team turns that advantage into outcomes by embedding a data‑driven decision‑making culture and advancing analytics and AI to drive growth, transforming how private markets are managed, scaled and serviced. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? As the Lead Data Scientist at Macquarie Asset Management, you will partner with business leaders, engineering, and cross-functional teams to architect the future of AI and data science, owning the end-to-end strategy, influencing executive and board-level decisions, and shaping how AI transforms our business. You will lead, inspire, and grow a high-performing global team, fostering technical excellence, diversity of thought, and a culture of ambitious experimentation. Leveraging modern platforms, you will pioneer production-grade agentic AI and digital co-worker capabilities by harnessing advanced machine learning, natural language processing (NLP), and large language models (LLMs) to solve complex challenges and drive innovation across investment management, client servicing, fund management, and corporate operations. What You Offer • Advanced SQL; strong Python and NLP experience, • Experience with Agentic AI platforms; familiarity with Google Gemini and the Agent Development Kit (ADK) viewed favorably, • Proven track record of implementing data science and AI solutions with measurable ROI, • Ability to articulate the value of ML and AI to senior leadership, driving organisational alignment, • Influential communicator who tailors content to technical and non-technical audiences; comfortable influencing cross-functional stakeholders, • Empathetic, collaborative leader who fosters a positive team culture and champions feedback, • Relevant tertiary qualification (Master’s or Doctorate preferred) in Data Science, Mathematics, Statistics, Computer Science or equivalent practical experience, • Domain experience in Private Markets and Private Credit is highly desirable We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. What We Offer Benefits At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: • 1 wellbeing leave day per year and a minimum of 25 days of annual leave., • 26 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers, • Paid fertility leave for those undergoing or supporting fertility treatment, • 2 days of paid volunteer leave and donation matching, • Access to a wide range of salary sacrificing options, • Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover, • Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services, • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription, • Access to company funded emergency and backup dependent care services, • Recognition and service awards, • Hybrid and flexible working arrangements, dependent on role, • Reimbursement for work from home equipment About Macquarie Asset Management Macquarie Asset Management is a global asset manager that aims to deliver positive impact. We’re trusted by institutions, pension funds, governments, and individuals to manage billions in assets globally. We provide access to specialist investment expertise across a range of capabilities including fixed income, equities, multi-asset solutions, private credit, infrastructure, green investments, natural assets, real estate, and asset finance. Our commitment to diversity, equity and inclusion We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

What Makes Us, Us Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn, and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT FOR US Are you interested in joining a collaborative team in a great office environment in an award-winning organization? At Axioma By SimCorp, we bring together highly skilled minds from across the world to rethink the way financial institutions think about risk and portfolio management. Axioma By SimCorp is seeking a qualified experienced professional to join our Product Specialist team for Portfolio Management Solutions as a full-time employee, based in our London or Frankfurt office. The ideal candidate for this role is a motivated quantitative professional looking for an exciting and engaging role supporting investment professionals. What You Will Be Responsible For • Engage with prospective clients on Axioma and SimCorp products in the field of Portfolio Management, explaining and demonstrating Axioma‘s unique value proposition in RFP/RFIs and by running proof of concept, and trial processes. Understand prospective clients’ needs and current workflows and guide them on the effective use of our software and risk models as well as Axioma's advanced tools to deliver impressive results., • Cooperate with a dedicated list of existing clients to build long-term relationships, help them extract maximum value from Axioma products, and ensure high level product utilization, resulting in high retention., • Provide subject-matter expertise on optimization, risk models, APIs, and portfolio analytics externally and internally., • Work directly with the product management team to influence product enhancements and improvements, guided by prospect and client feedback as well as personal experience. Update and educate clients on new product features relevant to their use cases and product subscription. Provide feedback to the Product Management team in ongoing efforts to improve and expand Axioma’s product capabilities., • Team up with implementation experts on product installation and integration in client environments., • Coordinate and involve additional subject matter experts, product management, research colleagues and sales reps to ensure clients have answers to important technical and commercial questions in a timely fashion., • Work with the Investment Decision Research and marketing teams on publications and engage with clients and prospects in all sorts of marketing events. What We Value • Degree in a quantitative field such as mathematics, statistics, finance, econometrics, or operations research., • Experience with portfolio optimization, factor risk models, investment analytics, and performance attribution. Any practical experience in quantitative finance firms or vendors is as plus., • Understanding of the use of APIs (Java, Python, R, Webservices, Matlab) is beneficial., • Proficient in both oral and written forms of communication., • Proficient skills in resolving complex issues are desired. Benefits Attractive salary, bonus scheme, and pension are essential for any work agreement. However, at SimCorp, we believe we can offer more. In addition to the traditional benefit scheme, we provide a good work-life balance: flexible working hours and a hybrid workplace model. SimCorp follows a global hybrid policy, asking employees to work from the office two days each week while allowing remote work on other days. There is never just one route — we practice a personalized approach to professional development to support the direction you want to take. NEXT STEPS Please send us your application in English via our career site as soon as possible, as we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you in discovering the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. Who We Are For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.

Additional Information Job Number 25194883 Job Category Owner & Franchise Services Location Europe Office - London, Barnard's Inn 86 Fetter Lane, London, London, United Kingdom, EC4A 1EN___Schedule Full Time Located Remotely? N Position Type Management Position Summary Responsible for supporting the RMS Revenue Managers and Leadership team with inventory management and rate loading across all Revenue Management systems, as well as for preparation of weekly sales strategy packets and incoming audit files across applicable properties as directed. Provides tracking and analysis when requested and audits the systems to ensure correct set up and distribution. SCOPE This role provides tactical support with Revenue Management systems and tasks, across all brands/hotels participating in the RMS solution, as directed by the leadership team. This role provides support across the RMS portfolio in the deployment of key MI initiatives and system changes and works to execute market-wide strategies or promotions by specific deadlines. Location requirements: Contracted from London Regional Office however is a field-based role and therefore supports 100% remote working. Language Requirements: High proficiency (speaking, reading and writing) in English is required. Multi language capability would be viewed as a bonus given the international nature of the business. Travel Requirements: Up to 15% business travel may be required. CORE ACTIVITIES KEY RESPONSIBILITIES: Expected Contributions • Perform basic tasks: training, analysis, auditing, research, report generation and software integration, including the preparation and initial analysis of weekly sales strategy packs., • Respond to, solve and make decisions on standard/routine business requests with limited risk., • Responsible for own work, with limited supervision following onboarding period, and contributing to team, department and/or business results., • Assist more senior associates in achieving business results by:, • Utilising technical knowledge and skills to enhance business processes., • Establishing priorities for self, and where appropriate, others., • Allocating own time effectively to meet goals in a manner that does not disadvantage other associates or groups., • Perform general office duties (e.g., rate loading, month end reports, filing, sending emails, typing, copying, corporate rate loading)., • Produce reports in response to internal and external requests for data., • Demonstrate an awareness of personal strengths and areas for improvement and act independently to improve and increase skills and knowledge., • Understand and deliver against MI revenue management initiatives and philosophies at all times., • Support the RMS Revenue Managers and Senior Team in overseeing and co-ordinating the revenue management functions and inventory strategy for hotels across all brands, in alignment with agreed core deliverables., • Conduct remote systems diagnostics audits and provide consistent recommendations., • Deliver training to various team members at contracted properties, ensuring hotel responsibilities are clear and manageable., • Deliver ad-hoc revenue services as required., • Utilise Marriott’s Revenue Management Systems, Processes and Tools to ensure that revenue and profit are maximised., • Analyse competitive performance using market share tools and discuss recommendations with the senior leadership team who will then present to hotel teams., • Alongside the senior team, conduct weekly Sales Strategy calls with General Manager and key property staff to educate and evaluate pricing and inventory strategies., • Ensure that the hotel(s) sales strategies are effectively implemented in the inventory systems, managing room authorisations, rates and restrictions., • Ensure compliance and participation in relevant eCommerce channels., • Execute pricing through High Performance Pricing, to include promotions, programs, and packages. Ensures compliance and participation in company promotions and digital channels, completing set up in HPP, eFast and Opera PMS., • Ensure retail rates are evaluated through One Yield’s Retail Pricing Optimizer and updated based on changes in demand, product, or competitive positioning, • Ensure retail price parity is executed across all booking channels and ensure that the Hotel(s) sales strategies are effectively implemented in the reservation system and the inventory systems., • Ensures that technical questions relating to reservations and property management systems are escalated to the correct support desk in a timely manner., • Updates weekly/monthly tracking for promotions, special events and key segments to support deeper analysis of performance, • Effectively communicate brand specific revenue management philosophies as they pertain to One Yield recommended strategies., • Communicate brand philosophies to the on-property staff, ensuring understanding and monitoring compliance where appropriate., • Communicate and educate the hotels on rational pricing, competitive positioning and restrictions as recommended by Marriott’s Revenue Management Systems., • Perform ad-hoc revenue tasks and analysis as directed by RMS Senior Leadership team. CANDIDATE PROFILE Education & Experience 2-year degree from an accredited university in Business Administration, Finance and Accounting, Economics, Hotel and Restaurant Management, or related major. No work experience required, although experience of the hotel industry in some format would be advantageous. Skills & Knowledge Building Successful Relationships – is able to develop constructive and cooperative working relationships with others and maintain them over time. Develops and manages internal key stakeholder relationships Understands the distinction between managed and franchise owners/operators and is able to seamlessly provide support to all levels of the business. Demonstrating Knowledge - Demonstrating knowledge of job-relevant issues, products, systems, and processes. Executing on a Strategy - taking a predetermined strategy and supporting the execution of that strategy. Communicating Information Timely - Informing and/or updating other team members on relevant information in a timely manner. Generating and Delivering Accurate and Timely Results - Generating and providing accurate and timely results in the form of reports, presentations, etc. Analytical/Critical Thinking - The ability to gather and organize information using a logical and systematic process. Intermediate Computer Skills – Utilizing the internet for job related search and information. Intermediate or higher mastery level of Microsoft Excel and Powerpoint. Job Specific Computer Skills – MS Office applications essential. Marriott systems (MARSHA, Opera PMS and Opera S&C, HPP, MarRFP, eFast, MRDW, One Yield) would be advantageous but not necessary. Oral Comprehension - The ability to listen to and understand information and ideas presented through spoken words and sentences. Writing - Communicating effectively in writing as appropriate for the needs of the audience. Mathematics - Using mathematics to solve problems. The ability to add, subtract, multiply, or divide quickly and correctly. Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. Marriott International is the world’s largest hotel company, with more brands, more hotels and more opportunities for associates to grow and succeed. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

AMLZ Recruiting is the executive search brand of AMLZ GmbH, headquartered in Wiesbaden, Germany. We specialize in placing exceptional professionals and executives with leading companies worldwide. Backed by a global network and deep industry expertise, we connect top talent with innovative organizations across a wide range of sectors. Our client is a globally recognized technology company near Shanghai, China, building reliable, production-grade AI and decision systems across multiple industries. Cross-functional teams in research, data, and engineering collaborate on scalable platforms that turn advanced algorithms into tangible business impact. This role starts in March 2026 with a remote-first arrangement. The first three months will be remote to align objectives, workflows, and milestones. As projects progress, short, fully sponsored on-site sessions in China may be arranged by mutual agreement for activities such as workshops, pilot runs, or production trials. Compensation is competitive, with additional allowances for any agreed on-site participation. Key Responsibilities • Develop and analyze ML and optimization models for real-world applications., • Build and evaluate algorithms for prediction, decision-making, and resource allocation., • Design clear experiments and metrics; interpret results and iterate based on data., • Work with engineering to turn models into reliable, scalable systems (pipelines, testing, monitoring)., • Prepare concise technical documentation and share findings with cross-functional partners. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, Artificial Intelligence/Data Science, IT (or related field), or equivalent industry experience., • Ideally 3+ years of relevant R&D experience in AI/ML, computer vision, data-driven product development or advanced analytics (industry or research)., • Proficient in Python; C++ experience is a plus where performance or edge deployment matters., • Hands-on with TensorFlow or PyTorch; familiarity with data pipelines (e.g., Spark) is a plus., • Solid foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra)., • English is the working language; additional languages are a plus. We Offer • Very competitive salary package and comprehensive benefits., • Remote-first working model with optional short on-site exchanges by mutual agreement., • Housing and family allowances available when on-site work is arranged., • Access to cutting-edge tools and real-world, high-impact applications., • Dynamic and innovative environment with clear growth opportunities. How to Apply Please submit your CV directly via LinkedIn. We will screen all applications and contact selected candidates for next steps. Full application documents will only be requested from shortlisted candidates.

Bring It On is creating the next generation of skill games. We deliver games that people enjoy for many years while earning money by playing excellently! Skill is the most exciting category in the games industry that enjoys rapid growth and immense opportunities. At Bring It On, everyone has a seat at the table. We value autonomy, impact, and smart decision-making. You’ll have a huge impact on the monetization strategy, helping shape how players engage with our games and spend over time. You’ll work closely with product, data, and marketing teams to ensure our game economy supports long-term engagement, fairness, and revenue growth. Team members come with vast experience and will be among the most positive, professional, engaged, and fun people you’ve worked with. They will expect to find the same in you. Are you ready to create awesomeness? Responsibilities • Balance the economy of features, payouts, prizes and currencies in the game, • Define and lead monetization strategies across all of our games, balancing revenue growth with long-term player engagement., • Own the design, implementation, and analysis of in-game monetization, including pricing, offers, rewards, sinks/sources, and LiveOps., • Partner with our product team, data, and UI/UX designers to shape monetization initiatives that feel great and convert well., • Deep dive into data to identify monetization opportunities, segment player behaviors, and optimize offers and events., • Develop A/B tests to experiment with bundles, pricing models, and promotions., • Support the planning and execution of monetization-driven LiveOps and VIP events., • Stay on top of Skill-Based gaming industry trends and competitor tactics to keep our games innovative and competitive. Requirements • 5+ years of experience in game economy design, in mobile free-to-play or real-money gaming., • Strong grasp of monetization mechanics and user psychology., • Deep familiarity with in-game purchasing behaviors and player segmentation strategies., • Data-savvy: strong Excel/Sheets skills, preferably SQL autonomous as well, • Experience working with BI dashboards (Looker/Tableau/Quicksight or similar), • Proven ability to turn insights into action and drive measurable revenue growth, • Great communicator - able to present complex ideas simply and collaborate across disciplines, • Passion for games and an understanding of how players interact with monetization systems, • BA/B.Sc. in Economy/Mathematics or another quantitative field Perks • An attractive salary that meets your expectations, • Home office budget - craft a top-notch environment to create wonders from, • Stock options - when the company succeeds, you become rich, • No office - work from anywhere you want to!, • No-fuss vacation days - take them when you want to We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you feel the above describes you perfectly - Apply now!

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. About The Role The SandboxAQ Cybersecurity R&D team is looking for an AI Security Researcher to help us build the future of AI security where the world’s most advanced AI systems are tested, protected and hardened against the next generation of threats. A successful candidate thrives at the intersection of machine learning, security and software engineering. You’ll lead investigations into how AI systems can fail, and build the tools, rules and frameworks that keep them secure. This is a hands-on role where you’ll break things, fix them and then harden them for good. You’ll have extensive freedom to explore, collaborate, publish, and deploy, shaping the field of AI security from both the offensive and defensive sides. We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, cryptographers, mathematicians, and physicists, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. We’re not another security vendor chasing patch cycles - we want to make an impact, and we want to do it fast. Core Responsibilities • Conduct original research into vulnerabilities, exploits, and adversarial behaviors in LLMs, LQMs, agents, and related AI frameworks, • Build and operationalize AI security frameworks, evaluations and red teaming tools, and defensive mechanisms to protect models and data, • Partner with engineering and product teams to integrate your findings into real-world systems, • Lead or contribute to responsible disclosure and research publications that advance the state of the art, • Stay on the edge of the latest in AI interpretability, alignment, and adversarial robustness, and use that knowledge to make AI safer for everyone Required Qualifications • PhD or Masters in Computer Science or related field with a focus on Machine Learning or Cybersecurity, • Deep expertise in AI/ML, security research, or both - with a proven ability to find and fix real vulnerabilities, • Hands-on experience with at least one of the following: Adversarial LLM red teaming, model extraction or prompt injection, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse, • Strong programming skills in Python, and relevant ML and/or agentic frameworks Desirable Qualifications • Experience contributing to open source projects, • Experience in the broader cybersecurity domain is a plus, but not essential The US base salary range for this full-time position is expected to be $184k - $230k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity. SandboxAQ Welcomes All We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: ___Compensation Range: $184K - $230K

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

The School of Computer Science and Mathematics is dedicated to producing research that has real-world application, boasting specialisms in immersive technologies, applications of artificial intelligence, trustworthy computing technologies and data science. In addition, you will hold a PhD or equival

Job description: JOB DESCRIPTION Job title: Market Risk Manager (Structured Rates) Corporate Title: Associate Department: Risk Location: London Company overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit Department Overview The Market Risk team is responsible for providing independent oversight of the firm’s trading activities based on quantitative and qualitative analysis of all material positions and the current market environment. These findings are reported to key stakeholders within the firm. The role involves a diverse range of risk management responsibilities and provides exposure to the trading desks, other risk teams, finance, and senior management. Role description: This is for a position covering Structured Rates within the EMEA Risk Management team, which involves the following responsibilities, amongst others: • Daily aggregation, validation, and monitoring of risk. Regular reporting of risk positions, limit breaches, and stress testing results for firm management and regulatory compliance., • Identification and investigation of changes to risk profile, including analysis of VaR and stress drivers. Communication of findings to management., • Working with the front office to understand and address breaches as necessary., • Reviewing new transaction requests, identifying and assessing the key risk issues, including capital impacts., • Developing a good understanding of risk systems and help to drive improvements where necessary., • Ad hoc risk-related projects and infrastructure building., • Keeping abreast of relevant market events and drivers. Key objectives critical to success: • Diligence/attention to detail and strong analytical skills to recognize/investigate significant changes in risk, • Strong communication skills to make management aware of said changes and new positions as they arise., • Good prioritization skills and a strong work ethic to see each task assigned done thoroughly and correctly. Skills, experience, qualifications and knowledge required: • Master’s degree in Applied Mathematics, Financial Mathematics, or related quantitative field, or the equivalent work experience, • Familiarity with structured rate products and their risk profiles, including understanding of Greeks and impact on VaR., • Strong proficiency with Excel., • Strong communication skills., • Relevant experience in a risk or control related function in financial services institution., • Detailed and process orientated., • Takes initiative and is proactive. Nomura competencies Explore Insights & Vision • Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect). Right to Work The UK Government have taken steps to reduce net migration to the UK by limiting the number of overseas workers coming to the UK for employment. Please note that whilst we are able to consider applications from overseas workers from outside the UK (who require a Tier 2 Skilled Worker visa) we can only employ them if we can provide evidence that this is a genuine vacancy for a qualified role. Diversity & Inclusion Nomura is an equal opportunity employer. We value diversity and are committed to ensuring we best reflect the diversity of the communities we serve creating an inclusive environment for all our employees. We welcome all applications and do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation. If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us. Nomura is an Equal Opportunity Employer

The School of Computer Science and Mathematics is dedicated to producing research that has real-world application, boasting specialisms in immersive technologies, applications of artificial intelligence, trustworthy computing technologies and data science. As part of significant expansion across the

B; ABOUT THIS OPPORTUNITY We are seeking an outstanding Assistant Principal for Teacher Development, specialising in English or Mathematics, to work within our high performing Academy.B; MAIN AREAS OF RESPONSIBILITY Your responsibilities will include: Collaborating as a member of the Academy Leaders

My leading Investment Bank client are looking for a talented and motivated individual to take responsibility for developing, documenting, and monitoring Credit Risk models for their EMEA region. You'll take initiative on activities supporting Regulatory and Internal Capital Assessments such as ICAAP, ICARA and others, as well as developing innovative solutions in climate risk modelling and scenario analysis exercise. The team is high performing yet supportive, with great management. A brilliant opportunity! The following skills/experience is required: • Strong background in Credit Risk Model development, • Degree in Quantitative subject (Finance, Mathematics, Economics, Engineering, etc), • Programming languages, ideally R. Python, SAS are desirable, • Banking background, • Strong Excel and Access skills Level: Vice President (VP) Location: London (good work from home options available) If you are interested in this Quantitative Risk Analyst position and meet the above requirements please apply immediately.

If you answered yes to the above, then this Maths Teacher role is for you! The Role – Maths Teacher We are seeking a dedicated and dynamic Mathematics Teacher to join our team and deliver high-quality lessons to Key Stage 3 and Key Stage 4 students. Description Maths Teacher &ndas

We are seeking a talented Mathematics Teacher who has the ability to deliver creative Math's lessons to motivated students? Mathematics teaching jobs in London borough of Croydon- Mathematics teacher - Job of the week Applications welcome from ECT or experienced Mathematics Teacher in Croydon

Harris City Academy Crystal Palace is a mixed Academy for 1,300 students aged 11-18, with a large sixth form of nearly 400 students. Harris City Academy Crystal Palace is part of the Harris Federation and this enables us to offer you a comprehensive induction programme and training and development o

A qualified Maths Teacher with QTS or a PGCE in Mathematics. Horizon Teachers are delighted to be supporting a high-achieving secondary school in. This forward-thinking school is looking for a committed and inspiring Maths Teacher who can deliver high-quality lessons across Key Stages 3 and 4.

Financial Modelling Manager The Financial Modelling Manager will be responsible for developing and maintaining financial models to support decision-making within the Not For Profit sector. This role is based in London and requires expertise in analytics and financial modelling. Client Details Financial Modelling Manager The organisation is a respected entity within the Not For Profit sector, committed to delivering impactful and meaningful results. As a medium-sized organisation, they are known for their structured approach to analytics and strategic planning. Description Financial Modelling Manager The Financial Modelling Manager will lead a high-performing team and deliver innovative, automated financial models that drive strategic decision-making. This is a unique opportunity to combine finance expertise, technology skills, and leadership in a role that will transform how planning and forecasting are done. As Financial Modelling Manager, you will: • Lead and mentor a team of finance professionals to deliver accurate, high-quality models and reports., • Review and migrate existing models to secure, server-based platforms aligned with IT standards., • Design and maintain robust financial models for planning, forecasting, stress testing, and performance evaluation., • Collaborate with IT and security teams to integrate emerging technologies and automation into modelling processes., • Maintain clear documentation and version control, ensuring audit-ready standards for all models. Financial Modelling Manager A successful Financial Modelling Manager should have: • Advanced Microsoft Excel (including complex formulas, macros, and data analysis)., • Programming & Data Tools: VBA, SQL, SSIS, Azure Data Factory (ADF), Python, .NET, Java., • Business Intelligence Tools: Power BI or similar for reporting and visualization., • Version Control & Automation: CI/CD pipelines, and automated testing frameworks., • Data Management: Strong understanding of data modelling, ETL/ELT processes, and governance standards., • A relevant degree in finance, economics, mathematics, or a related field., • Strong proficiency in financial modelling and analytical tools., • Experience in the Not For Profit sector or a similar environment. Financial Modelling Manager • Competitive salary ranging from £65,000 to £75,000 per annum., • Standard benefits included to support your well-being., • Permanent role based in London, offering stability and growth opportunities., • Opportunity to contribute to impactful projects within the Not For Profit sector.

Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.Bachelor's degree in a related field (Engineering, Computer Science, Mathematics, Physics, Statistics, Economics, Finance) or equivale

Equity Derivatives Quant Developer - C++, Python, CI/CD, Equities, Equity Derivatives, Pricing, Sensitivity Calculations, Algorithms, Quant Finance, Risk Management. I am seeking an experienced C++/Python Quant Developer to join my client who is a leading investment bank based in London. In this role, you will focus on building and optimizing infrastructure for pricing, risk management, and P&L calculation. You will collaborate with Quantitative Modellers to enhance core models and ensure compliance with regulatory standards. Key Responsibilities: • Develop and optimize systems for pricing, risk, and P&L calculations., • Partner with Quantitative Modellers to refine pricing models and tools., • Create solutions to meet regulatory reporting requirements (FRTB IMA)., • Contribute to both end-of-day and Real Time risk and P&L calculations., • Build and maintain data pipelines for market data and pricing support., • C++/Python, • Equities/Equity Derivatives, • Options, Options Pricing, Managing Pricing, • Solid understanding of pricing models and stochastic processes., • Experience working with large data sets and distributed systems., • Knowledge of Equity Derivatives and their pricing mechanisms., • Advanced Excel skills and familiarity with CI/CD workflows. Equity Derivatives Quant Developer - C++, Python, CI/CD, Equities, Equity Derivatives, Pricing, Sensitivity Calculations, Algorithms, Quant Finance, Risk Management.

Dates: 05/01/2026 - 04/07/2026 Hours: Monday-Friday, 9 AM - 6 PM Pay Rate: £14.73 - £20.98 Are you ready to be part of a dynamic team that drives consumer growth and engagement? Our client, a leading organisation in the food delivery sector, is on the lookout for an enthusiastic Operations Support (Marketing) professional to join their Consumer Growth team. This is an exciting opportunity to help shape the future of one of the most preferred food delivery platforms in the market! About the Role: As a key player in the Consumer Growth team, you will help develop and implement strategies that maximise demand and consumer growth. Your efforts will directly impact millions of customers, ensuring that we remain the top choice for food delivery. What You'll Do: • Campaign Coordination: Own and coordinate our comprehensive campaign calendar in collaboration with Marketing, Enterprise and Strategic Accounts teams, and Local Territory Operations., • Execution of Campaigns: Execute large-scale marketing campaigns across our owned channels, including in-app and CRM., • Data Analysis: analyse demand performance metrics and share valuable insights with the Central Operations team and UKI leadership., • A Bachelor's or advanced degree in Business Analytics, Engineering, Mathematics, Finance, Marketing, Econometrics, or a related field., • Proficiency in Excel/Google Sheets with experience handling large data sets., • Detail-Oriented Executor: You thrive on balancing speed and precision. You execute tasks swiftly, ensuring high quality., • Data-Driven Thinker: Your analytical mindset helps you make informed decisions, and you're experienced in utilising analytical tools., • Customer-Centric Approach: You genuinely care about customer needs and work to create delightful processes., • Effective Communicator: You can distil complex information into clear, actionable insights., • Relationship Builder: You develop strong partnerships while maintaining the ability to provide constructive feedback., • Impact: Play a pivotal role in driving growth in a key market., • Collaboration: Work alongside diverse teams and talented individuals who are passionate about what they do. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

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. 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. 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. * 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.

Junior Quantitative Analyst - Equities (Python Development) Location: London Type: Full-time | Front Office About the Role We are seeking a Junior Quant Analyst to join our Equities desk. This is an exciting opportunity to work in a fast-paced Front Office environment, supporting traders and developing quantitative tools for pricing, risk management, and strategy optimization. Key Responsibilities • Develop and maintain Python-based analytics and models for equities trading., • Assist in building pricing tools, risk dashboards, and data-driven strategies., • Collaborate with traders and senior quants to enhance execution and performance., • Strong programming skills in Python (pandas, NumPy, SciPy, etc.)., • Solid understanding of equities markets and financial instruments., • Knowledge of quantitative methods (statistics, time series, regression)., • Degree in Mathematics, Physics, Computer Science, or Finance., • Experience with data visualization (Matplotlib, Plotly)., • Familiarity with machine learning techniques., • Opportunity to work closely with traders and senior quants. To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

We are recruiting an enthusiastic and committed.This is an excellent opportunity for a skilled.The school, located centrally in.KS3 and KS4, ensuring high standards of progress and achievement.You will join a dynamic department committed to excellence, making this role perfect for a motivated.

As part of a significant investment in the new faculty, The School of Computer Science and Mathematics is looking to appoint a professor in the field of computer science with a particular focus on artificial intelligence and data science. The School of Computer Science and Mathematics is dedicated t

The School of Computer Science and Mathematics is dedicated to producing research that has real-world application, boasting specialisms in immersive technologies, applications of artificial intelligence, trustworthy computing technologies and data science. As part of significant expansion across the

We are looking for a talented and enthusiastic teacher of Maths to A Level to join our dynamic and successful school; someone with a real passion for their subject, who teaches engaging lessons and helps all students reach their potential. Be a newly qualified or experienced teacher who is influenti

An exciting opportunity has arisen for an enthusiastic and committed Maths Teacher to join a vibrant and inclusive secondary school in Waltham Forest. They are seeking an outstanding classroom practitioner who is passionate about inspiring young people to achieve their best in mathematics. Hold UK Q

Horizon Teachers are seeking a passionate and motivated. Inspire students to build confidence, problem-solving skills, and a deeper understanding of mathematics. Passionate about mathematics with the ability to engage and support learners of all abilities.

Job Title: Mathematics Teacher Location: Croydon Start Date: September 2025 Contract Type: Full-time Salary: £170 - £320 per day Kickstart your teaching career in a supportive and welcoming school! We are working with a highly regarded secondary school in Sutton that is looking to we

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Maths Teacher - January 2026 or Sooner - Permanent Position. Start Date: January 2026 (or sooner for the right candidate). A successful secondary school in Redbridge is seeking a dedicated Maths Teacher to join their thriving Mathematics Department on a permanent basis starting January 2026 (or earl

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Bachelors degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Business Administration, or a closely related field. As the Lead - SOC Incident Manager, your role will encompass communicating cybersecurity incide

The Head Teacher would ideally like a Science Graduate with any of the following Science related degrees: Biology (Science) Chemistry (Science) Geology (Science) Physics (Science) Natural Sciences (Science) Mathematics & Physics (Science) Environmental Science (Science) Geography & Environmen