Junior Quantitative Researcher

Man Group

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026   About Man AHL: Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non-traditional momentum, multi-strategy and sector-based approaches. Man AHL’s strategies are primarily alternative and seek to gain potential predictive, alpha-generating insights through rigorous analysis of large data sets. Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data to build systematic investment strategies, trading continuously over hundreds of global markets. The team of 150 investment professionals, including 110 researchers, is comprised of scientists, technologists and finance practitioners, driven by curiosity and intellectual honesty, and a passion for solving the complex problems presented by financial markets. The engine leverages Man Group’s unique collaboration with the University of Oxford, the Oxford-Man Institute of Quantitative Finance (OMI). The OMI conducts field-leading academic research into machine learning and data analytics, which can be applied to quantitative investing. Founded in 1987, Man AHL’s funds under management were $63.8 billion at 31 March 2024. Further information can be found at www.man.com/ahl. The Team: AHL Macro is the team responsible for Macro strategies. The team systematically trades liquid futures and FX at different frequencies, with holding periods ranging from intraday to monthly. Technology and Business Skills: * 3+ years of experience researching and live trading alpha signals for futures and FX (essential) * Experience with intraday > monthly predictor design and analysis * Experience with portfolio construction, risk analysis * Strong understanding of transaction costs, and mitigation strategies * Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live trading   Personal Attributes: * Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university * Hands-on attitude; willing to get involved with technology and projects across the firm * Intellectually robust with a keenly analytic approach to problem solving * Self-organised with the ability to effectively manage time across multiple projects and with contending business demands and priorities * Strong interpersonal skills; able to build and maintain a close working relationship with quantitative researchers, technologist, traders and senior business stakeholders alike. Ability to mentor junior researchers * Confident communicator: able to argue a point concisely and deal positively with conflicting views Working Here: AHL fosters a performance driven, meritocratic culture with a small company, no-attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader research and academic community, as well as renowned industry contributors. Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.

Entrix

SHORT FACTS Join us on our journey at Entrix: We are looking for an experienced Quantitative Researcher to shape how we trade flexibility from our customers' battery assets across European power markets. We operate in markets that run 24/7 (DAA, IDC, aFRR, and others), meaning every model decision we make turns into real positions, real risk, and real revenue. In this role you will guide the next generation of algorithmic trading at Entrix to keep us at the forefront of innovation. Sitting at the intersection of quantitative research and applied data science, you will own the alpha generation pipeline behind our algorithms, from signal research and backtesting through to live trading and P&L attribution. This is a staff-level individual contributor role where you will spend your time on the hardest problems in the team: framing ambiguous trading challenges, designing systems that combine machine learning and optimization to deliver impactful results, and mentoring data scientists to raise the bar across the team. As one of the most senior members of the team, you will own the technical vision for our trading algorithms, help drive the team roadmap, and mentor a strong group of individual contributors working on the hardest problems in the European energy transition. * Location: Munich, Germany * Employment Type: Full-Time, indefinite term * Salary Range: € 115.000 - 135.000 per year gross depending on the seniority level * Office-first work setup * Language Requirement: C1 Level English YOUR RESPONSIBILITIES * Shape the technical vision and roadmap for our algorithmic trading stack, breaking that vision into work the team can deliver, communicating trade-offs, and driving alignment on methodology, success metrics, and system design. * Research, develop, and productize forecasts and strategies that generate alpha by trading flexibility in real-time European energy markets (DAA, IDC, aFRR, etc.), combining ML and optimization techniques to make 24/7 trading decisions. * Enhance our the backtesting, simulation, and P&L attribution capabilities that turn research into live strategies, with rigorous overfitting controls, risk-adjusted evaluation, and automated testing. * Foster technical excellence across the team by mentoring data scientists through design and code review, and by championing engineering rigor in code quality, observability, and reproducibility. * Own the delivery of complex, ambiguous projects from research to production. YOUR PROFILE Mandatory Requirements * 7+ years industry experience in quantitative research or applied data science, with significant time developing live trading algorithms in energy or financial markets. * Proven track record of P&L contribution from strategies you researched, backtested, and shipped to live trading. * Deep understanding of trading mechanics: price formation, market microstructure, execution, slippage, risk, and position sizing. * Strong fundamentals in time series modelling under non-stationarity and regime shifts, with disciplined backtesting practice (risk-adjusted metrics, overfitting controls, walk-forward validation). * Strong expertise in python and software engineering practices: testing, code review, CI/CD, monitoring, modular code design, and taking machine learning and/or optimization models from research into production systems. * Track record of mentoring junior team members and raising the technical bar of the team. * University degree in Computer Science, Mathematics, Physics, or a related quantitative field. * Excellent English communication and interpersonal skills. Skills to Set You Apart * Direct experience trading battery storage, flexibility, or other assets in European power markets. * Experience combining machine learning (forecasting, signal generation) with mathematical optimization (LP, MILP, stochastic) in a single production-level system. * Experience with financial derivatives (especially options), market making, or HFT systems. YOUR BENEFITS * Competitive Compensation Package: Including salary, benefits, and potential for growth. * Professional Development: Annual development budget of €3,000 for coaching, training, books, etc. * Health & Sport Subsidy: Company-subsidized sports facility memberships. * Public Transportation Subsidy: Monthly subsidy for your public transport ticket. * Lunch/Dinner Allowance Vouchers: Digital meal vouchers for workdays. * Work Equipment: Your choice of MacBook or Windows Laptop and ergonomic workplace setup. * Regular Team Events: Knowledge sessions, afterwork hangouts, sports events, and company offsites. A SHORT NOTE FROM YOUR FUTURE LEAD I’m Austin Todd, Data Science Manager at Entrix. I lead our team of Data Scientists developing innovative algorithms for energy trading and optimization. In my career I’ve had many exciting challenges and opportunities, with a consistent focus on developing innovative technical solutions in the energy industry and facilitating a transition to green energy solutions. Here’s a quick snapshot of my journey so far: * Data Science Manager @ sonnen (2021–2026): Built and scaled cross-functional data science teams, shaping the company vision for data science and AI development. * Data Scientist IV @ NREL (2019–2021): Led research & development efforts for data science applications in wind and solar energy, transportation, and data center operations. * Lead Data Scientist @ MeteoGroup (2017–2018): Drove the development of ML applications to build risk management tools for energy grid transmission operators. * Data Scientist @ Telekom Innovation Labs (2015-2017): Supported new client acquisition for Deutsche Telekom through building of innovative data science solutions. Having spent most of my career building data science applications in the energy industry, I bring both a deep technical knowledge of data science methodology and an understanding of how they can help shape the future of industry like energy. As a manager, I help my teams by fostering innovation and research while driving rapid development that has a meaningful impact. At Entrix, we believe great tech starts with great people. Collaboration, creativity, and an unrelenting focus on delivering results are at the heart of everything we do. If you’re ready to work with a team that’s reshaping industries and tackling some of the toughest challenges, I’d love for you to check out our opportunities. Join us, and let’s build something extraordinary together. Looking forward to seeing what we can create. YOUR CONTACT IN OUR PEOPLE TEAM If you have any questions, feel free to send us an email to talent@entrixenergy.com. We are looking forward to receiving your application!

Moniepoint

ABOUT US Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira’s in transactions monthly. Our mission is to enable financial happiness for every African, everywhere. ABOUT THIS ROLE The CX Researcher is responsible for conducting in-depth qualitative and mixed-methods research to uncover customer behaviours, motivations, needs, and pain points across Moniepoint's products and services. The role is embedded directly within a product org unit, working alongside product managers, engineers, and designers as a full member of the team. The CX Researcher translates rich customer insight into prioritized, actionable recommendations and advocates for the customer voice throughout the product development process. At the Senior Associate level, the CX Researcher independently manages complex research initiatives and may mentor junior team members. RESPONSIBILITIES * Research Design & Execution: Design and execute qualitative research methods including in-depth interviews (IDIs), usability testing, concept testing, ethnographic studies, diary studies, and focus groups. Lead the design and execution of complex, multi-method research projects with minimal supervision. Develop comprehensive research plans, discussion guides, screeners, and stimuli tailored to specific research questions. Recruit and manage participants for research studies, ensuring diverse and representative samples. Facilitate and moderate engaging research sessions, expertly eliciting deep insights from participants. Conduct continuous customer discovery as a standing practice — not only when studies are formally commissioned. * Data Analysis & Synthesis: Analyse qualitative data using appropriate methodologies including thematic analysis, affinity mapping, and journey mapping. Synthesise findings from qualitative, quantitative, and behavioural data sources into clear, concise, and compelling outputs. Prioritise research findings using structured frameworks to distinguish critical unmet needs from performance gaps and opportunity areas. Identify key customer pain points, unmet needs, and opportunities for product improvement. * Customer Satisfaction & Journey Ownership: Track and analyse customer satisfaction metrics for the product journeys owned by your org unit, identifying what is driving movement in either direction. Initiate timely root cause research when satisfaction signals indicate a problem — without waiting to be asked. Visit customer-facing touchpoints (e.g. support centres) regularly to observe real interactions and supplement digital research with field observation. Collect and synthesise feedback from commercial and relationship-facing teams in your geography. * Insight Dissemination & Advocacy: Collaborate closely with product managers, UX designers, engineers, and other stakeholders to integrate research insights into product development processes. Communicate research findings and actionable recommendations effectively to both technical and non-technical audiences. Deliver all research output as structured, prioritised insight — not unprocessed data or narrative reports. Track the status of your recommendations — which have been acted on, which have been declined, and why — and follow up accordingly. Act as a passionate advocate for the customer, ensuring their perspective is understood and considered throughout the organization. * Community of Practice & Team Contribution: Contribute to the continuous improvement of research processes, methodologies, and tools within the CX Research function. Mentor and provide guidance to junior team members, sharing best practices and fostering skill development. Participate actively in team knowledge sharing and contribute to building a strong research culture across the function. EXPERIENCE & BACKGROUND * 4+ years of experience in customer research, UX research, or a related qualitative research role, with demonstrated ability to lead projects independently.  * Proven experience with a wide range of qualitative research methods and strong analytical skills for qualitative data.  * Bachelor's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Design, or a related field. * Master's degree in a relevant field (Preferred). * Experience with mixed-methods research, combining qualitative and quantitative data (Preferred). * Familiarity with financial technology (fintech) or banking products and services (Preferred). SKILLS & COMPETENCIES * Excellent interviewing, moderation, and observation skills.  * Strong written and verbal communication skills, with the ability to articulate complex research findings clearly and persuasively.  * Empathy, curiosity, and a passion for understanding people and their experiences.  * Ability to work collaboratively in a fast-paced, agile, embedded team environment.  * Experience with research tools such as UserTesting, Qualtrics, Dovetail, or similar platforms (Preferred).  * Familiarity with customer satisfaction measurement methods and continuous discovery models (Preferred). WHAT SUCCESS LOOKS LIKE IN THIS ROLE * Quality and depth of customer insights generated and shared with product teams.  * Positive movement in customer satisfaction metrics for the journeys owned by the researcher's org unit.  * High rate at which research recommendations are acted on by product teams.  * Consistency of customer contact — ongoing, not episodic.  * Timeliness and effectiveness of research project execution within agreed turnaround windows.  * Stakeholder satisfaction with research collaboration and insight quality