Data Scientist

Firm Overview ALTÉRRA is a new $30B catalytic climate investment fund launched to mobilize investment at scale to finance a new climate economy that delivers shared prosperity for all.ALTÉRRA has the ambition to activate and grow a new global climate economy, stimulating innovation, multiplying private capital and reducing barriers to investment in emerging markets and developing economies (EMDEs). With a focus on actionable investments, ALTÉRRA and its partners are committed to the rapid deployment of capital in high-impact projects across emerging markets. Alterra Management Limited is an Asset Manager incorporated in the ADGM, regulated by the ADGM Financial Services Regulatory Authority that manages the Alterra Climate Vehicles.Rove Overview The successful candidate will join ALTÉRRA’s Analytics Unit and support the AI integration and application of advanced analytics, statistical models and data-driven decision tools across ALTÉRRA’s investment activities. The role will work closely with teams across Investment, Impact and Client Solutions to turn internal, external and alternative data into practical insights that improve investment selection, underwriting, portfolio management, climate impact assessment and capital raising.The role is intended for a hands-on data scientist who can independently take analytical problems from initial business question through data sourcing, modelling, validation and implementation. The successful candidate will combine strong quantitative and programming skills with commercial judgement and the ability to explain complex analytical results to investment professionals and senior stakeholders. Role Responsibilities Develop statistical, machine learning and analytical models that support investment screening, underwriting, portfolio construction, risk assessment, impact analysis and fundraising.Build models and tools to challenge investment assumptions, including comparable-transaction analysis, scenario and sensitivity analysis, probabilistic forecasting and benchmarking.Analyse ALTÉRRA's investment, fund, portfolio, impact and GP data alongside external market, economic, climate and alternative datasets to identify patterns, risks and investment opportunities.Develop predictive models for areas such as investment pipeline conversion, GP and manager assessment, prospective LP targeting and portfolio early-warning indicators.Support the development of quantitative climate-impact analytics, including impact forecasting, benchmarking, attribution, additionality, carbon yield and capital-mobilisation analysis.Develop analytical approaches to portfolio construction and capital allocation, considering financial returns, downside risk, diversification, climate impact, additionality and other portfolio constraints.Apply geospatial, satellite and other alternative datasets where appropriate to investment diligence, physical climate risk, asset monitoring and verification of operational or impact performance.Develop analytical tools for market mapping and investment sourcing, combining transaction data, market fundamentals, policy, technology and capital-flow information.Build reusable scenario and what-if tools that allow investment teams to understand key model assumptions, sensitivities, confidence ranges and break-even conditions.Develop automated analytical workflows and reporting outputs that reduce manual analysis while maintaining clear data lineage, assumptions, validation and human review.Translate complex analytical outputs into clear recommendations, visualisations and decision materials for investment teams, senior management and Investment Committee discussions.Work with internal technology and data partners to integrate analytical models and workflows into ALTÉRRA's broader data and AI infrastructure, while avoiding duplication of core data-engineering activities.Establish robust practices for model documentation, validation, version control, reproducibility and monitoring.Contribute to the development of reusable proprietary datasets, benchmarks, methodologies and analytical components that strengthen ALTÉRRA's investment-intelligence capability.Skills & QualificationsApproximately 5-8 years of relevant experience in data science, advanced analytics, quantitative analysis or a related field, ideally with exposure to investment management, private markets, financial services, climate/energy, risk or other investment-relevant applications.Familiarity with modern AI tools, including LLMs, retrieval-augmented generation and agentic workflows, and an understanding of where these approaches complement rather than replace conventional statistical modelling, is an advantage.Strong practical proficiency in Python and SQL, including data preparation, exploratory analysis, statistical modelling, model validation and automation.Demonstrated experience developing and applying statistical and machine-learning techniques such as regression and classification models, tree-based methods, clustering, time-series analysis, forecasting and optimisation.Experience taking analytical models from an initial business question through data sourcing, model development, testing and implementation.Strong understanding of statistical concepts including uncertainty, model validation, sensitivity analysis, probability and causal or attribution challenges.Experience working with multiple and imperfect datasets, including sourcing, cleaning, matching and integrating structured and unstructured information.Experience with financial, investment or economic modelling is highly desirable, particularly in private markets, infrastructure, energy, asset management or institutional investing.Experience with geospatial analysis, satellite/remote-sensing data or alternative data is an advantage.Experience with visualisation and analytical applications using tools such as Power BI, Tableau or similar is desirable.Exposure to cloud-based analytical environments and modern data platforms is an advantage.Strong commercial and analytical judgement, with the ability to move from a loosely defined business or investment question to a structured quantitative approach and decision-useful recommendation.Ability to communicate complex quantitative findings clearly to investment professionals and senior stakeholders who may not have technical backgrounds.Comfortable working in a small, entrepreneurial team where priorities evolve and the candidate is expected to independently own analytical workstreams.Bachelor’s or Master’s degree in data science, statistics, econometrics, mathematics, computer science, engineering, economics, finance or a related quantitative field.Fluency in English required.Experience in emerging markets, climate investing or the Middle East is a plus.