Data Analyst

Winton

ABOUT WINTON Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. ----------------------------------------------------------------------------------------------------------------------------------   Winton leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems. As a Data Analyst within our Quantitative Platform team, you will own the quality, consistency, and discoverability of datasets as they move from onboarding into production. You will uphold our data standards and catalogue, so datasets are easy to find, trust, and use. Your work spans vendor-sourced financial data, time series across instruments and asset classes, and complex, multi-table products where correct mapping and definitions matter as much as raw data accuracy. Your responsibilities will include: * Defining and executing rigorous acceptance criteria for new and evolving data products. From sample evaluation through to production, including coverage analysis, staleness and gap detection, and reconciliation against trusted references where available. * Acting as a subject-matter expert on our data products, helping Strategy Managers with vendor formats, data anomalies, corporate actions semantics, identifiers, and documentation gaps; escalate and track issues with vendors and internal stakeholders until resolved.  * Building and maintaining an automated catalogue of datasets (descriptions, owners, refresh cadence, SLAs, source systems, schemas, known limitations). Keeping the catalogue aligned with reality when pipelines change so consumers rely on current metadata. * Systematically probe new and existing datasets to ensure they meet our high data quality standards. Stress-test point-in-time, versioning and revision semantics; chase down corrections, duplicates, staleness, and discontinuities with source vendors. * Contributing to data quality frameworks, onboarding checklists, and documentation (data dictionaries, lineage notes, known limitations) so quality expectations are repeatable and auditable. * Partnering with Data Engineers on handoff contracts (schemas, SLA expectations, alerting thresholds), with Quant Researchers on analytic sanity checks, and with operations on repeatable triage when anomalies appear in production datasets. What we are looking for: * 3+ years’ experience working with financial data vendors and their products. * Strong grasp of cross-asset class time series data and what common or nuanced issues can arise when onboarding new datasets. * Comfort with complex, multi-entity datasets (join keys, slow-changing dimensions, snapshots vs history) and a methodical approach to debugging inconsistencies. * Hands-on analytical experience using Python, and the ability to summarize findings clearly for both technical and non-technical audiences. * Meticulous attention to detail and a bias toward evidence-based conclusions. * Excellent communication and collaboration skills, and the ability to work in a team in a fast-moving, data-centric environment. What would be advantageous: * Direct experience with reference and hierarchical data (security masters, classification trees, entity relationships) and cross-vendor alignment. * Familiarity with market, fundamental, or alternative datasets used in systematic or quantitative investment workflows. * Exposure to data quality tooling or statistical monitoring (distributions, drift, anomaly detection) applied to production or near-production feeds.  * Experience building ETL/ELT pipelines using Python. * Practical experience using LLMs to accelerate complex data investigations.   ---------------------------------------------------------------------------------------------------------------------------------- EQUAL OPPORTUNITY WORKPLACE We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join a procurement function that supports technology infrastructure, cloud services and strategic supplier relationships across the firm. The role focuses on transforming complex operational, financial and infrastructure data into actionable insights that support procurement decisions, capacity planning, supplier management and investment strategy. You will work closely with procurement, finance, engineering and operations stakeholders to develop reporting, forecasting and analytics capabilities across a growing technology estate. Your future role within QRT * Extract, cleanse and integrate data from cloud platforms, procurement systems, infrastructure management tools and financial systems * Develop and maintain dashboards and reporting for procurement, infrastructure, finance and executive stakeholders * Analyse infrastructure utilisation, asset lifecycle trends, capacity planning metrics and technology refresh programmes * Combine cloud consumption, procurement, financial and operational datasets to provide business insights and decision support * Analyse cloud, colocation and infrastructure costs to support investment planning and optimisation initiatives * Develop forecasting models for infrastructure demand, supplier commitments and hardware procurement planning * Partner with engineering and operations teams to provide insight into server utilisation, storage growth, network capacity and operational efficiency * Evaluate opportunities to improve infrastructure performance, resiliency and cost effectiveness * Develop KPI frameworks and operational metrics for cloud services, infrastructure assets and operational processes * Build and improve automated reporting, analytics workflows and data pipelines * Present findings and recommendations to technical and non technical stakeholders, including senior leadership * Support strategic decision making through reporting on supplier commitments, infrastructure investment and capacity planning Your present skillset * Bachelor's degree in Finance, Data Analytics, Computer Science, Engineering or a related discipline * 8 or more years of experience in data analysis within procurement, infrastructure, asset management, finance or technology operations * Strong understanding of AWS reporting, cloud financial management and cloud consumption analytics * Experience analysing infrastructure assets, capacity planning, hardware lifecycle management and technology refresh programmes * Advanced Excel skills and strong SQL expertise * Experience using Python for analytics, automation and data processing * Proficiency with Tableau or similar visualisation and reporting tools * Strong analytical skills with the ability to interpret complex datasets and generate actionable insights * Excellent communication skills with experience presenting to senior stakeholders * Ability to manage multiple priorities and work independently in a fast paced environment * Familiarity with ERP platforms and procurement systems such as SAP or Coupa is beneficial * Experience with infrastructure management, asset management or data centre management platforms is advantageous * Knowledge of cloud computing, storage architectures and infrastructure best practices is beneficial * Experience building automated data pipelines, ETL processes and enterprise reporting solutions is advantageous * Understanding of FinOps principles, supplier commitment management and infrastructure investment analysis is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

NextEnergy Group

THE ROLE As a Senior Data Analyst in NextEnergy Group’s Data & AI team you will lead geospatial analytics projects, mentor junior analysts and deliver high-impact insights across climate, nature and social themes. You will partner with the Environmental Social Governance (ESG) Team and wider business stakeholders; design and maintain robust spatial datasets; develop and manage web based GIS applications; and apply spatial analysis to support due diligence across UK and international investment portfolios. Through the establishment of standardised geospatial processes, auditable data workflows and high quality visualisations, you will strengthen the organisation’s evidence base for ESG reporting and decision making. By delivering actionable insights to stakeholders you will be supporting the company’s digital transformation and sustainability goals. This role is central to our strategy to become a data-driven, technology-led and AI-infused enterprise. KEY RESPONSIBILITIES * Analytics & Insight Generation: Lead spatial and environmental analysis across ESG topics, integrating survey, CAD, consultant and public datasets to identify constraints, risks and opportunities, and translating complex geospatial data into clear, actionable insight for senior stakeholders. * Reporting & Visualisation: Design, build and maintain dashboards, web applications and high‑quality cartographic outputs (ArcGIS Online, ESRI), ensuring spatial data is visualised clearly, accurately and in line with best‑practice data storytelling for both operational and strategic reporting. * Mentorship & Best Practice: Champion geospatial data quality, governance and continuous improvement by managing spatial databases, standardising workflows, documenting processes and mentoring junior analysts, fostering a culture of technical excellence, knowledge sharing and continuous learning * Data Collection & Management: Working with Data Engineering & Data Governance when relevant, own and actively manage spatial and ESG‑related datasets for analysis, ensuring data quality, integrity and compliance with GDPR and other regulation * Process Automation: Identify opportunities to automate & transform analytics & reporting processes to improve efficiency & scalability * Collaboration: Work closely with business stakeholders across the group to understand requirements, deliver solutions and support cross-functional projects * Documentation & Knowledge Sharing: Consistently document geospatial methodologies, analytical workflows and outputs, producing clear guidance and process documentation to support transparency, reproducibility and effective knowledge sharing across the wider team. * Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements. * Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively suggest enhancements to processes & tools SKILLS & COMPETENCIES To be successful in this role, you will demonstrate: * Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake) * Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner * Analytical & Problem Solving: Ability to interpret complex data and generate actionable insights. Strong attention to detail and commitment to data quality * Business Acumen: Understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG & GIS * Leadership & Collaboration: Proven ability to mentor junior analysts and lead cross-functional projects * Time management & prioritization skills- things can get a little hectic, so the ability to effectively manage yourself and your workload is critical * Excellent communication skills in English (additional European languages are a bonus) - you must be able to organize your thoughts in a way that others find clear and compelling. Translating & presenting complex technical concepts to non-technical stakeholders. You will be expected to together well-written, grammatically correct emails and other communications. When communicating verbally * Flexibility- being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description. * Intellectual Curiosity – we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team. * Delivery focus – it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs matters * Passion for our mission ‘to generate a more sustainable future by leading the transition to clean energy * Our values: be a leader, build trust, be responsible, be innovative and ‘bring your alpha’. EXPERIENCE & QUALIFICATIONS  * Bachelor’s or Masters degree in Geography, Geographical Information Systems (GIS) or relevant environmental or technical field or alternative relevant educational achievements (e.g. apprenticeships, arts degrees + work experience) * 4-6 years of experience in data analytics or a similar role * Dashboard design (PowerBI & Thoughtspot), remote sensing and image processing skills in context of environmental applications and assessment desirable.  * Experience in geospatial data management and data engineering. * Experience with ESRI products, including ArcGIS Pro, AGOL Web Maps, Application, Dashboards, Story Boards. * Familiarity with CAD based software (e.g. AutoCAD), Web-based GIS technologies, coding (Python, R) as well as other desktop GIS software (e.g. FME, QGIS).  * Experience in renewables/environmental/social assessments and across development, construction and operation stages. * The right to work in the UK or Italy WHAT WE OFFER * A busy role in a supportive team, with plenty of opportunities to learn * International scope – we operate in over 8 countries * Hybrid working  * Competitive base salary and annual discretionary bonus. HOW TO APPLY If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergygroup.com. If you have been shortlisted for the next stage, we will be in contact within 14 days.  By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice. DIVERSITY AND INCLUSION Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be. We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. ABOUT US NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector.  Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.  NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development).  NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds. * NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m. * NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target. * NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target. * NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised. * NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling). WiseEnergy® is NextEnergy Group’s operating asset manager.  WiseEnergy is a leading specialist operating asset manager in the solar sector.  Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW.  WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector.   Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects.  It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies.  NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more.  NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.