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THE POSITION Our roster has an opening with your name on it We’re growing our Market Making Engineering team that works on some of the coolest software in the industry - the systems that quote, price, and manage risk in real time for high-volume, high-velocity sports markets. This work spans the full RFQ/quote lifecycle (request → quote → accept → outcome) in low-latency, event-driven services. The team you will join works with quantitative analysts and trading/risk stakeholders to implement and run market making strategies, while proactively identifying opportunities for technical innovation within the Risk and Trading organization. Our stakeholders are the people who establish prices and manage risk for the #1 sports book in America! We’re looking for a Senior Staff Software Engineer. As a Senior Staff Software Engineer, you will lead an empowered, multidisciplinary team, autonomously tackling complex challenges that provide the very best experiences and products for a growing community of millions of players. The ideal candidate will have the confidence to propose pragmatic solutions to complex problems and be eager to learn from and educate others. You will help make technical decisions that will impact the broader organisation. This necessitates empathetic communicators with a commitment to outreach, documentation, assisting others, and continuous improvement. THE GAME PLAN Everyone on our team has a part to play • Experience in both quantitative modeling practices and coding. You will be assisting in the creation of models/strategies and working with other engineers on your team to productionalize this software., • You work in project ideas with stakeholders, and peers, • You own parts of product and technology & become subject matter experts, • You write simple and extendable code following standards and best practices. You test your code thoroughly, • You help balance customer requirements with the team requirements, • You lead team evolution by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews, • You classify, store, and handle data in accordance with FanDuel policies, • You track security risks and mitigate and/or escalate them in a timely manner, • You focus on operational excellence, constructively identifying problems and proposing solutions, • You take on projects and make software enhancements that improve the team software and processes, • You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it, • You are able to train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture, • Your influence extends beyond the team at and org level, • You foster a constructive dialogue and seek resolutions in a professional way, • You help recruit and interview for your team, • You estimate stories/tasks accurately and deliver them in time, • You mentor and help to develop others, • On-call rotation where required. You provide excellent customer support, • You keep yourself up to date with market standards, open-source frameworks, • You build and evolve components that support real-time quoting and decisioning with careful attention to latency, throughput, and correctness, • You implement and maintain risk controls and guardrails (e.g., exposure checks, limits, throttling/filters, kill switch patterns), • You ensure high-quality decision logging so strategies can be debugged, replayed, and improved using real quote/fill outcomes, • You partner with quants and stakeholders to define and monitor key metrics (e.g., quote ratio, win rate, expected vs realized margin, exposure/capital utilization), • Most importantly, you are; humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce, • Creative problem-solving ability, • A passion for learning and always getting better THE STATS What we’re looking for in our next teammate • BA/BS degree in Computer Science or related software engineering field, or equivalent practical experience. 7+ years of relevant work experience OR 5+ years of relevant work experience with a MS in Computer Science or related technical field., • At least one frontend specialisation in any of the following: building native apps (Kotlin, Swift) or web apps using React (JavaScript or TypeScript) or hybrid apps using React Native, • Experience building or contributing to an advanced shared library, design system, or SDK, • Understanding of modern architectures, design patterns, and platform nuances, • Knowledge of web libraries and frameworks, such as Typescript, React, Angular, and/or Bootstrap, • Familiarity with full stacks, single-page applications and/or micro frontends, • Expert experience with testing concepts, test tools, and integrating testing and best practices in the SDLC, • Strong sense of ownership, urgency, and drive., • Familiarity working in an Agile environment, • Passion for working within a fast-paced environment and can adapt to change PLAYER BENEFITS We treat our team right From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect: • An exciting and fun environment committed to driving real growth, • Opportunities to build really cool products that fans love, • Career and professional development resources to help you refine your game plan for owning and driving your career and development, • Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another Diversity, Equity and Inclusion FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgment or harassment. Our focus is on developing employees so that they reach their full potential. The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!

At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO We are hiring for developers for our growing Market Abuse Surveillance practice. What you’ll be doing: • Working with business users to define requirements for new application functionality, • Developing, testing, supporting and maintaining all code for client applications, • Assisting the Project Manager with all aspects of project delivery, • Working as part of a team to deliver projects on time and on budget, • Analysing data and creating reports for clients to present findings, • Mentorship and training of junior developers Experience and skills required: • Minimum 3+ years kdb+ development experience, • Knowledge and experience in KX Surveillance, or of technical solution development in a surveillance, context is highly advantageous, • Ability to learn new programming languages and financial concepts quickly - logical thinkers and problem solvers wanted, • Familiarity with Software Development Methodologies, • Good knowledge of the Systems Development Life Cycle, • Detail-orientated, results driven and in possession of a can-do attitude, • Capable of working both independently and within a team, • Excellent client facing skills, • Minimum 2:1 degree in Mathematics, Physics, Computer Science or any other scientific/engineering discipline Experience and skills desired*: *But don’t rule yourself out if you haven’t had the opportunity to develop these skills yet • Knowledge of Trade Surveillance technology and Market Abuse regulations in one or more jurisdictions, • Experience of other programming languages, e.g. Python, • KX Surveillance deployment and enhancement, • Experience with application of AI and Machine Learning, • Cloud development experience, • Experience of other data solutions, specifically Time Series Experience in an investment bank or large financial organisation, • People management experience, • Technical lead of project or sub-team What we offer: • Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance., • Professional development – we offer extensive training, ranging from leadership to specific technical skills., • Progression opportunities - we run a biannual promotion process. Monthly 121s with your People Leader provides support to guide you and your career in the right direction., • International travel opportunities – we offer the opportunity to work internationally, with teams in Belfast, London, New York, Hong Kong & Singapore, • Healthcare cover – provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health, • Generous referral scheme – we love to see referrals and referring a friend means cash for you!, • Regular social events, prizes and giveaways – our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

Location: Remote (home/field-based covering the North of England and Scotland, including Manchester, Leeds, Liverpool, Edinburgh and Glasgow) Hours: 37 hours per week Salary: £35,000 DOE + car allowance + commission (OTE £70,000) We are growing our presence in the Purpose Built Student Accommodation (PBSA) and Build to Rent (BTR) sectors and are looking for a commercially driven Business Development Manager in the North of England to help scale this area of the business. This role will cover Scotland and Northern England, including Manchester, Leeds, Liverpool and Edinburgh and Glasgow. You will ideally be based in Greater Manchester or West Yorkshire, allowing efficient driving access across Northern England and Scotland and a practical monthly drive to Sheffield HQ. UniHomes is the UK’s go to student accommodation marketplace, supporting millions of students’ searches every year and delivering high quality enquiries to accommodation providers nationwide. As demand for varying formats of accommodation continues to rise, we are working with a wider range of PBSA and BTR operators to help renters find their perfect home and the operators improve their visibility and fill rooms. In this role, you will take ownership of developing new PBSA and BTR partnerships, working primarily with individual buildings and smaller portfolios. You will identify opportunities, win new partners, and manage relationships end to end through onboarding, performance, and renewal. You’ll act as a trusted commercial contact throughout the advertising term, ensuring partners see ongoing value from UniHomes. Where appropriate, you’ll also support partners as they explore more strategic ways of working with us as their portfolios grow. This is a field based role with a high level of autonomy, offering the chance to make a tangible impact in a growing segment of the business, alongside strong earning potential through uncapped commission. Key responsibilities: • Identify and target PBSA and BTR opportunities across the UK, focusing on individual buildings and smaller portfolios., • Proactively research and approach new operators aligned to the UniHomes proposition., • Spend significant time in the field meeting prospective partners across your territory., • Present the UniHomes advertising offering, clearly demonstrating value, reach, and performance., • Manage the full commercial lifecycle from initial outreach through to close., • Support new partners through onboarding, ensuring listings are well set up from launch., • Build strong, long-term relationships, acting as the main commercial point of contact., • Use performance insight and market context to lead renewal discussions., • Identify opportunities for relationships to deepen or evolve over time., • Keep CRM records, pipeline activity and reporting up to date., • Stay close to PBSA and BTR market trends, student demand, and competitor activity., • Represent UniHomes professionally at meetings and relevant industry events., • Attend monthly meetings at Sheffield HQ and occasional overnight stays when required. Skills and experience: • Proven experience in a field-based sales or business development role., • Experience within PBSA, BTR, student accommodation or property portal sales is highly desirable., • Strong communication, presentation, and negotiation skills., • Comfortable with frequent travel, long drives and managing a national territory., • Self-motivated, target driven and resilient., • Ability to build rapport quickly and develop long term relationships., • Full UK driving licence and access to your own vehicle. About us: At UniHomes, we’re on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We’re not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we’ve experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work® certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we’re driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you’re ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that’s opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: • Lead the Way, • In it Together, • Customers Matter, • Keep it Simple, • Rise Above Challenges, • Make it Happen What do you get when you work here?_ With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work® (GPTW®) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage. _Our impressive benefits package and perks comprise: holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events. When you do occasionally visit our stunning state-of-the-art office in Sheffield, you will be treated to complimentary breakfast, hot & cold drinks, snacks, pool table, and company social events. At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you. Applicants must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence. We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Show us the real you. We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in London. You will be joining the EMEA Development team and as a Quant Developer, you will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site. Responsibilities • Designing and implementing a low latency high-frequency trading platform, • Assisting in the development of a tick by tick backtesting research platform, • Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources, • Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates, • Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity, • Creating tools to analyze data and generate insights that research decisions are based on Qualifications • Bachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience), • A strong background in data structures, algorithms, and object-oriented programming in C++, • Brilliant problem-solving abilities, • The ability to manage multiple tasks in a fast-paced environment, • Strong communication skills, • Python and/or financial markets experience is preferred but not required Benefits Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: • Generous paid time off policies, • Savings plans and other financial wellness tools available in each region, • Hybrid working opportunities, • Free breakfast, lunch, and snacks daily, • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more), • Company-sponsored sports teams and fitness events, • Volunteer opportunities and charitable giving, • Social events, happy hours, treats, and celebrations throughout the year, • Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer.

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role We're hiring a Baseload Originator. Your job is to deliver consistent, high-quality generator deals that expand baseload-shaped supply, deepen liquidity and pricing, and strengthen tem's credibility with asset owners and developers. You'll grow our generator base across core tech types (anaerobic digestion, landfill gas, and energy from waste), owning relationships end-to-end to improve deal velocity and reduce friction across commercials and onboarding. You'll act as a trusted commercial counterpart to developers and asset owners, feed structured sell-side insight back into pricing and product, and represent tem credibly in the broader generator ecosystem. 🚀 Responsibilities Run and close generator deals from first signal to signature, shaping commercials, negotiating Heads of Terms, and landing contracts at pace. Grow tem’s presence with developers, IPPs and aggregators through targeted outreach and disciplined, data-led pipeline management. Build a diversified portfolio across core tech types, regions, counterparties and tenors to increase liquidity, resilience and pricing depth. Track asset changes, deal activity and generator preferences; turn insight into clear offers and next actions. Own commercial diligence and deal hygiene so handoffs are clean, including key asset data, route-to-market inputs, and internal alignment/ Work with Legal, Ops and Product to remove onboarding friction and ensure clean handoffs to delivery. Feed structured sell-side signals into pricing, product and strategy to sharpen our proposition and stay ahead of competitors. 🎯 Requirements Experience in energy, climate tech or B2B sales in complex, multi-stakeholder deals with renewable generators, developers or asset managers. Proven ability to source, structure and close new generator deals. Strong grasp of generator commercial drivers (price, risk, term, route-to-market) with credible value positioning. Experience with PPAs, flexible products or structured energy deals; able to coordinate with Trading and Legal. Excellent communicator who collaborates across teams to smooth generator onboarding. Proactive, collaborative problem-solver with a bias to action and results. Comfortable using data tooling and automation to manage pipeline, pricing inputs and outreach at scale. Passion for sustainability and clean energy. ✅ Success measures 50+ generator opportunities originated and qualified, with 10–15 contracts signed or near-term closing. ≥ 1 TWh of generation under management or in late-stage pipeline across one or more asset classes. Visible, well-documented network of developer and asset-owner relationships with active comms and deal calendars. Structured feedback that shortens onboarding timelines and sharpens the generator proposition. ✨ Benefits & Perks Salary aligned to internal benchmarks and reviewed twice a year. Stock options so everyone has ownership in our mission. 25 days holiday plus public holidays. Swap public holidays for the ones that matter most to you, and enjoy your birthday off. Remote first and flexible working, with clear core hours and no internal meetings on Friday afternoons. Home working and wellbeing budgets: Up to £1,200 or €1,200 per year for your remote setup. Up to £150 or €150 per month for wellbeing. 🗣️ Interview Process We move fast. Most processes take 2 to 3 weeks from first chat to offer. If you need us to adapt anything, let us know. Intro call with Talent, 30 minutes. Hiring Manager interview, 45 minutes. Skills interview with Commercial and cross-functional leaders, 60 to 90 minutes, including a practical exercise. Culture Add interview with leadership stakeholders, 45 minutes. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents. FairMoney thrives on its diverse workforce, bringing together talent from over 27 nationalities. This multicultural team drives the company’s mission of reshaping financial services for underserved communities.To gain deeper insights into FairMoney’s pivotal role in reshaping Africa’s financial landscape, we invite you to watch informative _. Role Overview We are hiring a Lead Risk Manager to own and scale our iOS (Apple) lending portfolio in Nigeria. This is not a monitoring role. This is not a reporting role. This is a P&L-impacting, GP/ECL ownership role. You will: • Own Gross Profit (GP), • Own Expected Credit Loss (ECL), • Own risk-adjusted unit economics, • Own portfolio scaling decisions, • Own credit policy direction You will lead policy, experimentation, analytics, and performance — and be accountable for portfolio outcomes end-to-end. This is a high-impact role. Key Responsibilities GP & ECL Ownership • Own portfolio-level GP and ECL performance, • Maintain ECL/Revenue within risk appetite, • Optimise:, • PD, • LGD, • Exposure limits, • Pricing, • Tenure strategy, • Build and manage loan-level and user-level NPV frameworks, • Ensure scaling decisions improve long-term portfolio PV You must think in: • Risk-adjusted margin, • Behavioural lifetime value, • Capital efficiency, • Sustainable growth Credit Policy Leadership • Design and implement credit policy changes, • Define clear hypotheses before rollout, • Quantify impact across:, • FPD, • Roll rates, • NPL, • ECL, • NPV, • GP uplift, • Present before/after impact analysis, • Ensure policy governance and documentation standards Every policy change must be: • Hypothesis-driven, • Controlled, • Measurable, • Financially justified Portfolio Scaling & Experimentation • Design and execute A/B and multivariate tests, • Ensure statistical validity and bias control, • Measure impact beyond FPD — full unit economics view, • Scale winning strategies quickly, • Terminate underperforming experiments fast You must be comfortable making decisions under uncertainty — but never without data. Unit Economics & PV Mastery You must deeply understand: • Loan-level NPV, • User-level NPV, • Behavioural EIR, • Discounting logic, • Lifetime value modelling, • Risk-adjusted CAC impact You should be comfortable explaining why tenure, pricing, or exposure shifts change portfolio PV. End-to-End Credit Product Ownership • Acquisition risk filters, • Limit assignment logic, • Pricing bands, • Tenure optimisation, • Top-up strategy, • Collections alignment, • Fraud overlays, • Model strategy alignment You must understand how underwriting decisions today affect collections 90+ days later. Team Leadership & Analytical Excellence • Lead and build a high-performance risk/analytics team, • Set weekly performance rhythms, • Ensure dashboards are decision-grade, • Review analysis rigorously, • Maintain strong data governance We expect someone who: • Gets into SQL when needed, • Reviews modelling logic, • Challenges assumptions, • Doesn’t hide behind slides This is a builder role. • Portfolio scaled profitably, • ECL/Revenue within risk appetite, • Positive portfolio NPV under stress assumptions, • Strong experimentation culture embedded, • Clear policy governance framework, • iOS portfolio positioned for multi-market scaling, • 6–10+ years in consumer credit risk, • Strong exposure to African lending markets (Nigeria preferred), • Proven ownership of GP and ECL, • Experience scaling digital portfolios, • Advanced knowledge of:, • PD / LGD / EAD frameworks, • Roll-rate modelling, • IFRS9 concepts, • NPV modelling, • Pricing optimisation, • Strong SQL and analytical tooling comfort, • Deep A/B experimentation experience, • 25 days paid vacation, Sick & Public Holidays to B2B contractors., • Remote (timezone must have significant overlap with CET)., • Training & Development budget., • Paid company business trips. Recruitment Process • Screening call with Recruiter: 45 minutes., • Technical Interview with Chief Credit Officer