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Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employment We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Position Overview Senior Manager, Technology, Insights & Analytics (DePuy Synthes, Johnson & Johnson). The role owns the digital, data, and analytics strategy that enables effective decision making across global real estate, facilities management, and capital project delivery. Job Location(s) Leeds, United Kingdom; United States (multiple locations across New Brunswick, New Jersey, Raritan, New Jersey, Raynham, Massachusetts, West Chester, Pennsylvania, Warsaw, Indiana, Palm Beach Gardens, Florida) - candidates may apply to the location most suitable to them. Key Responsibilities Data & Analytics Strategy - Define and own end to end analytics and insights strategy, establish a single source of truth, and ensure analytics directly support executive, portfolio, and investment decisions. Digital Systems & Enablement - Own the digital tools and systems roadmap, partner with IT for system integration, automation, and data quality, and simplify and standardize tools and reporting across regions. Portfolio Analytics & Insights - Deliver actionable insights on portfolio performance, capital efficiency, project risk, cost, and schedule; develop executive dashboards and forward looking analytics; incorporate external benchmarks and market intelligence. People Leadership & Team Development - Lead, mentor, and develop a high performing analytics team; establish best practices for analytics methodologies and insight generation. Performance Management & Governance - Enable performance tracking across capital projects, support governance forums with fact based insights, and identify trends, risks, and systemic issues before they arise. Stakeholder Partnership - Act as a trusted advisor to senior leaders, closely partnering with strategic project management, engineering standards, business operations/finance, and communications/crisis management. Qualifications Education - Bachelor's degree required in Data Analytics, Computer Science, Engineering, Statistics, Business, or a related field; Master's degree (MBA, MS, etc.) preferred. Experience & Skills - 8-10years of progressive analytics or data science experience, proven ability to lead analytics teams, translate business needs into technology solutions, and influence senior stakeholders through data driven storytelling. Other Requirements - English required; travel up to 10% primarily domestic; knowledge of advanced analytics, predictive modeling, and emerging technologies; familiarity with data governance, privacy, and regulatory requirements in a regulated industry. Required Skills 8-10 years of progressive experience in analytics, business intelligence, data science, or related technical roles. Strong expertise in analytics platforms, data visualization tools, and data management concepts. Proven ability to translate business needs into scalable analytics and technology solutions. Experience influencing senior stakeholders through data driven insights and storytelling. Strong strategic thinking, problem solving, and communication skills. Prior experience driving digital or analytics transformation initiatives. Preferred Skills Experience supporting commercial, medical device, or healthcare businesses. Knowledge of advanced analytics, predictive modeling, automation, and emerging technologies. Experience working with large, global data environments and cross regional teams. Familiarity with data governance, privacy, and regulatory requirements in a regulated industry. Agile Decision Making, Analytics Insights, Developing Others, Inclusive Leadership, Leadership, Organizational Project Management, Performance Measurement, Program Management, Project Management Methodology (PMM), Project Management Office (PMO), Project Management Tools, Project Reporting, Regulatory Compliance, Risk Management, Statement of Work (SOW), Team Management.

Europe Remote Full Time Individual Contributor +5 Years of Experience Who We Are At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by seasoned experts from the payments and tech industries, our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations. We empower high-performing teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries. About The Role We are orchestrating a high-performing data enablement team that works with pace and enthusiasm! Yuno moves money across borders for companies that can't afford for payments to fail. Our data platform is what makes that visible - to our product teams, our clients, and ourselves. If you are a Senior Data Engineer with passion and drive who enjoys solving complex data problems and leading initiatives, then we are looking for you. You will play a pivotal role within the Data team that powers Yuno and its payment platform, while helping co-design and implement an architecture that scales with the product and the company. Your Contribution Will Be The stack is modern: StarRocks as our primary analytical layer, Flink for processing, DBT for transformation, Airflow for orchestration and various tooling for surfacing insights. The hard work of making it genuinely reliable is still in front of us - and that's exactly why this role exists. You'll be working on things that matter and are technically interesting: Design and build data pipelines for large volumes of payment data that are performant, reliable, and correct - not just fast. Own end-to-end data flows: from ingestion and transformation through to the outputs that Finance, Product, and clients rely on. Drive data quality across your domain with tooling. Work cross functionally with Product, Finance and enable other Engineering teams via a 'consulting' style model. Contribute to how the team works - code review culture, CI/CD standards, ADRs, how we handle incidents - we're building these practices now and senior engineers shape them. Help onboard and level up engineers around you; there's real opportunity to make an impact here. Skills You Need Minimum Qualifications Proven proactivity, technical acumen and the ability to lead initiatives and deliver projects. Experience in defining and evolving data engineering standards, architectural guidelines and governance, ideally within a regulated environment. Strong Python and SQL skills. Hands on experience with Spark or Flink in production. DBT for data transformation. StarRocks or a comparable analytical database. Experience building and operating data pipelines in AWS and/or GCP. Comfortable with data quality tooling and the mindset that correctness is non negotiable. Familiarity with medallion / lakehouse architecture patterns. Verbal and written fluency in English is required - we're a distributed team and written communication is important. Preferred Qualifications Airflow for orchestration. Experience with Apache Hudi. Experience with financial, transactional, or payment data. What We Offer at Yuno Competitive Compensation. Remote Work - You can work from everywhere! Home Office Bonus - A one time allowance to help you create your ideal home office. Work Equipment. Stock Options. Health Plan wherever you are. Flexible Days Off. Language, Professional, and Personal Growth courses.

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. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role This role sits within the Basecamp Technology group, providing specialised engineering capabilities and scalable components to our Research and Trade Technology groups. Join a high-impact team building a greenfield, in-house storage platform to replace a major external vendor dependency. You'll work on a multi-year programme starting with data orchestration and tiering, and evolving into a custom distributed storage system tailored to large-scale research workloads. This is a great opportunity to shape core infrastructure from first principles, with direct impact on performance, cost, and research capability. Key responsibilities Design and build a storage abstraction layer enabling seamless data movement across tiers Develop tooling for automated dataset tiering and workflow integration Contribute to the design and implementation of a custom distributed storage platform Integrate with internal research systems and data platforms Optimise for performance, scalability, and reliability Collaborate with researchers to support evolving data needs Own systems end-to-end, from design through to production Who are we looking for? Strong software engineering experience, ideally with Rust Experience building distributed systems, infrastructure, or data platforms Solid understanding of systems design, performance, and scalability Ability to work on complex, low-level technical problems Experience with storage systems, large-scale data, or high-performance environments is a plus Why should you apply? Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 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 G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

Our Future Healthis an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we'renow the world's biggest health researchprogramme of its kind, and our volunteer group is also more diverse than other, similar health researchprogrammes. Technology and data are central to our mission. Our systems power websites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. We are looking for a Staff Engineer (Architect) to own the high-level design of our researcher operations systems. As Our Future Health moves to expand its research offering we need to build and operate new systems related to acquiring researchers, onboarding them, taking them through the study application process, and maintaining our relationship with them. The role will require working with other functions at Our Future Health such as Finance, Customer Support, and we expect it to involve a mixture of bespoke building of select components alongside configuration and integration of SaaS products like CRM, ticketing, support, and email comms systems. Where we build our own components you will work with product development squads to define the design and requirements for the component and then support the squad as they build it. The researcher onboarding and study application processes are vitally important to Our Future Health since they form our implementation of two principles from the "Five Safes" framework for safe research access to data - "safe people" and "safe projects". As well as the responsibilities specific to the researcher operations area, as a member of the Architecture team you will also play a key role in general architecture activities at Our Future Health - working with other engineers to guide the wider platform design, work on cross-platform projects which add new platform-side capabilities, represent technology in the early stages of future projects, and so on. Responsibilities Day to day work will vary depending on what your focus is at that time, but will include things like: Represent technology/architecture/engineering in cross functional project teams throughout a project's lifecycle (from ideation to implementation). Work within the team to identify optimal solutions for challenges, communicate them outwards to stakeholders and work with others to implement them. Work with your peer staff engineers and Head of Engineering to act as a guiding mind for the engineering/architecture in your business area. Identify areas for improvement and work with other leaders to implement. Lead decision making on critical technical strategy and implementations which affect your business area. Identify opportunities for and then carry out specific pieces of high impact hands on work where it makes sense. Work with partners and suppliers to integrate their systems with Our Future Health's. Support your colleagues with pairing, peer reviews, coaching, discussion, and other collaborative activities that help everyone reach high standards and result in the delivery of high quality software products. Contribute to the reliability, resilience and ongoing evolution of critical research platform services and live systems where required. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Technical Skills You have led the architectural design of systems. Experience of configuring and integrating off the shelf SaaS systems with bespoke web and backend applications, via APIs, event driven architectures, etc. Appreciation of the balance between "build" and "buy", experience of weighing up pros and cons to make a selection which will fit into the wider organisation's systems and meet the needs of organisational internal users and goals. Knowledge and experience of building cloud hosted consumer web applications and backend services using open source technologies such as Node.js, Ruby on Rails, Python in a start up or scale up environment. Prior experience with Azure (ideally), AWS or GCP. Comfortable working with Infrastructure as Code, ideally with knowledge of Terraform. Knowledge of good data modelling and design patterns; in-depth knowledge of relational databases (e.g. PostgreSQL) and familiarity with other types of data store (blob, document, graph). Expertise in modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub. Experience of operationally managing software components once live, including observability, logging, metrics, error reporting, debugging and live incident management. Experience of working with sensitive personal data. Competencies Experience working in/with cross functional teams consisting of engineers, product, UX and non technical stakeholders. Proven ability to communicate with stakeholders and audiences at different levels. Understanding of the importance of operational, security and legal factors when designing solutions, with the ability to articulate trade offs and make informed decisions around design and technology choices. Experience working in small, growing organisations with a high degree of ambiguity, where flexibility is valued. Strong understanding of software quality principles and practices. Experience in mentoring and coaching less experienced engineers. Comfortable facilitating technical discussions, encouraging collaboration and providing direction. Salary & Benefits Competitive base salary from £105,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join Us - Let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications we need to close our postings early. Equity and Accessibility At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Equity Derivatives Group you will join our agile team creating, transforming, and supporting our trusted market leading technology products using modern technologies and industry best practices. Job responsibilities Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Collaborate with engineers, product owners, traders, sales and Quants to develop best in class software solutions for our Equity Derivatives platform. Work within a team of software engineers analyzing and implementing business requirements within an Agile/Scrum environment. Work closely with production management applying technical knowledge to support business processes, changes, and end users. Lead and contribute to communities of practice across Software Engineering to drive awareness and use of new and leading edge technologies. Add to team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience. Experience with Java/JVM and the Java/JVM ecosystem, Spring Boot framework. Experience with TypeScript/React development. Experience with object oriented design and micro service architectures and best practices. Proficient in all aspects of the Software Development Life Cycle. Good understanding of software design patterns and clean code practices. Strong written and oral communication skills. Proficiency in automation and continuous delivery methods. Advanced understanding of agile methodologies, CI/CD, Application Resiliency, and Security. Experience partnering with product and engineering teams. Preferred Qualifications, capabilities, and skills Experience working on financial systems is a plus. Experience with finance / derivative products. Knowledge of Convertible Bonds is a plus. Experience with publish/subscribe messaging protocols such as Kafka, AMQP, AMPS. Experience with C#/WPF desktop application programming. Exposure to relational database management systems (Sybase). Experience with cloud technologies. Exceptional client relationship skills including the ability to discover true requirements underlying feature requests, recommend alternative technical approaches, and drive efforts to meet committed timelines with optimal solutions. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Let's be ISS Sustainability is growing! Our Climate & Nature unit seeks a Climate Data Scientist to improve our existing climate and nature risk models, create new models and develop new products and analytical tools and to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative. In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations. Responsibilities Leverage your deep knowledge of climate and earth systems as well as analytical expertise to contribute to the team's data science-driven product development efforts. Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods. Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc. Support the maintenance and improvement of existing datasets, models, and pipelines, including contributing to regular data updates. Evaluate new data sources and data collection methods for accuracy and effectiveness. Coordinate with colleagues working on sustainability, climate, and nature risk products, and stay informed about the broader market landscape. Provide topic expertise to colleagues and clients on ISS Sustainability products, including support with product use and specialist client questions. Analyse regulatory requirements, public datasets, climate scenarios, and other relevant information to identify opportunities for improving existing products and developing new sustainable finance solutions. Qualifications/Skills Advanced university degree in atmospheric or physical sciences, meteorology, hydrology, environmental science, or a related field. Experience working as a climate scientist, hazard modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models. Ability to use and interpret climate model outputs and projections, including those from CMIP datasets. Experience with AI or machine learning methods and developing predictive models is an advantage. Strong skills in working with large geospatial and climate datasets using Python, including libraries such as Xarray, Dask, and Rasterio. Familiarity with geospatial data formats such as NetCDF, Zarr, and GeoTIFF. Working knowledge of UNIX shell and Docker is beneficial. Solid data science and statistical analysis skills. Research experience or climate-related publications is an advantage. Strong analytical, communication, and problem solving skills. Ability to collaborate effectively with colleagues across multiple locations and time zones in a dynamic environment. Excellent written and spoken English. Knowledge of French or German is a plus. Experience in ESG or sustainable climate finance is considered an advantage. EEO Statement Institutional Shareholder Services (ISS) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to 'protected status'). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.

Senior Software Engineer - Risk Valuation Platform Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Risk & Performance Platform group delivers industry-leading analytical solutions for cross-asset valuation, financial risk modelling, and portfolio performance attribution. These solutions power Bloomberg's flagship enterprise products and serve a broad range of businesses across the financial industry. The Risk Valuation Platform is the central component within the group. We own a cross-asset distributed calculations platform offering financial risk calculations for various Bloomberg Enterprise solutions. Our system runs billions of calculations a day with a guarantee of 24 hour availability, flexibly serving both batch and on demand traffic across hundreds of machines. The team sits at the intersection of finance and high scale infrastructure, working directly with product owners and engineering teams across departments, with exposure to derivatives pricing, market data, and financial risk calculations. Our projects span a broad scope - from building new workflows and analytics delivered directly to end users, to longer term strategic goals such as rearchitecting our market data management systems, building proactive batch monitoring, and collaborating across risk teams to deliver a single unified firm wide API. We collaborate closely with other teams in the larger Risk & Performance Platform department and work daily with our product counterparts to move the platform forward and influence its direction. We are dedicated to sharing our knowledge regularly and to creating a collaborative environment. We are looking for software engineers who share our team's passion for building robust, high scale systems in a fast paced, client driven environment. What's in it for you? You will be joining an enthusiastic team of talented C++ engineers, passionate about our platform, and proud to build industry leading risk solutions for our clients. Collaboration and teamwork are part of our DNA. You will work in a high impact team delivering billions of calculations across diverse workflows, gaining deep experience with a large distributed system deployed at true enterprise scale. You will contribute to a large, modernised C++ codebase alongside experienced engineers. We follow developer experience best practices and actively invest in modernising our tooling and infrastructure. You will work closely with our product partners, and take a leading role in designing and delivering new solutions - from initial stakeholder conversations through design, implementation, release, and production. You will deepen your understanding of the financial domain, working alongside market data and derivative pricing teams and experts in our product department. You'll need to have: Professional experience with financial markets, derivatives pricing, or risk calculations Commercial experience building products in an object oriented programming language A passion for software engineering and building robust systems that can be evolved over time A desire to own the software you build - managing stakeholders across engineering and product, and driving work through development, release, and production Excellent communication skills A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience We'd love to see: Experience programming in C++ Experience working with large scale distributed systems Familiarity using Continuous Integration and Continuous Deployment tools Familiarity with AI assisted coding tools If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer.

Key Responsibilities Identify and enhance opportunities within the mobile apps user journey, including features like new customer acquisitions, search, recommendations, promotions, product details, guided shopping, payment options and customer reviews. Define customer lifecycle and segments, establish performance metrics, and create a structured approach to product performance. Manage product roadmaps and launch milestones, integrating customer insights, industry trends, and data analytics to optimise user experience. Work with cross functional teams to shape and implement app product strategies based on user needs and business plans that extend to our global markets. Empower Business Initiatives and facilitate decision making from both a user centric perspective and machine learning capability. Minimum Qualifications Recent 5+ years of experience in product management (mobile apps and web apps) in creating/mapping customer user journey experience from end to end in the e-commerce industry for European countries. Bachelor's degree in Computer Science, Business Administration, Product Management, Finance, Engineering, or a related field. Strong analytical and communication skills to effectively collaborate across various teams and leverage data for decision making. Bilingual level language proficiency in English and at least one of the following: Dutch, German or French. Preferred Qualifications Proven track record of large user base apps (e.g. managing app products with over 1million daily active users). Experience working across different regions and diverse cultures is advantageous. EEO Statement is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

JOB DESCRIPTION Help shape how intelligent systems are built and delivered at the company. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in. As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Collaborate with senior engineers and participate in design discussions Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Collaborate openly with the team, seek feedback, and apply it to improve outcomes Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Strong understanding of the Software Development Life Cycle Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US the company, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Zilch is looking for a Senior Finance Data Analyst to join its Finance Data team in the United Kingdom. This position blends finance analytics with data engineering, requiring advanced SQL skills and data modelling abilities. Your responsibilities include developing data models, ensuring data quality, and collaborating with finance stakeholders. The role supports a hybrid work environment, emphasizing problem-solving and technical contributions to improve financial insights.

About the company Emma is the app to manage all things money. Our mission is to empower millions of people to live a better and more fulfilling financial life. Emma was founded by engineers, who are extremely focused on coding, product and data. These are the three pillars on which we want to build a strong tech culture and fix personal finance once for all. We have raised more than $8m+ to date to build the one stop shop for all your financial life. Our investors include Connect Ventures (investor in Curve, TrueLayer and CityMapper), Kima Ventures, one of the first in Transferwise, and Aglaé Ventures, early stage fund of the Groupe Arnault, investor in Netflix and Airbnb. Alongside them, several angel investors, who have built and sold industry leading companies have decided to take part into this journey. At Emma, we are: Bold Determined Focused Autonomus We are a high-performance team and we run the company like a professional sports team. We expect each and every team member to move fast, have ownership over their workand hold each other to a high standard. If you're not driven to own your work, execute swiftly, and innovate constantly, this isn't the right place for you. About the role Responsibilities You will work directly with the CTO and your focus will span different areas, with challenges related to our backend infrastructure, from scaling challenges to data processing ones. We have an intense roadmap ahead, which includes a plethora of new features and integrations, which you will be part of. Our tech stack: Languages: TypeScript, Javascript Libraries and frameworks: gRPC, Redux, React Native, Next.js Datastores: Vitess, MySQL, CockroachDB, BigQuery, Redis Infrastructure: Google Cloud Platform, Kubernetes, Docker, PubSub, Terraform Monitoring: Grafana, Prometheus, Sentry, Metabase Some of our current interests lie in: Product: We are building the 1st Finance App in the UK, used by many people every day. We are shipping an average of a feature per week and tons of micro-improvements that compound in making our app valuable Machine learning: we have an enormous amount of transaction data, which we are using to provide better insights to our users. Predicting when a user is going in overdraft, when a card payment is coming through or clustering a huge set of subscriptions are a few of the problems we are tackling Scaling: our services are used by millions of people. We need to keep Emma up and running smoothly. This means an intense effort and quality in the work we do Speed: In the hyper-competitive FinTech industry what really matters is speed. If we had to compare ourselves to someone, we like to think we would be Bolt. About you You are a software developer with at least 2 years professional experience You are excited by what we're building at Emma You thrive in environments that afford you high levels of responsibility and autonomy You hold yourself and those you work with to high standards You are driven to fulfil your potential and grow as an engineer You take the initiative to learn new skills required to complete tasks You behave like an owner, taking total responsibility for your work and considering the bigger picture You are results-oriented and avoid unnecessary tasks You have strong opinions, weakly held, and the humility to change your mind when presented with new evidence Process Take-home test Phone call with internal recruiter 2nd call with CTO Onsite interview with CEO Benefits Stock Options available Private Medical Insurance and Perks with Vitality Pension Contribution Employee Referral Scheme Emma Ultimate Subscription MacBook and Cursor AI Cycle to Work Scheme One-month sabbatical every 5 years Regular Socials To facilitate communication, productivity and speed, we work from the office Monday to Friday. This is not a hybrid role. Please only apply if you can certainly meet this requirement. Our office address is: 1st Floor, Verse Building, 18 Brunswick Place, London N1 6DZ. May the gummy power be with you! By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.