Finance Portfolio Analytics Manager

Design, build and own the portfolio analytics toolkit, including NPV/rNPV valuation models, scenario and sensitivity analysis, probabilistic and Monte Carlo simulation, and portfolio optimisation and prioritisation approaches
Establish reusable, documented models, templates and standards that make analyses transparent, reproducible and auditable
Improve forecasting methodologies, data quality, reporting and analytics tooling
Lead ad hoc strategic analyses addressing complex investment and portfolio questions
Define problem statements where limited framing exists
Develop, evaluate and stress-test business cases, valuations and investment scenarios
Translate scientific, clinical and operational inputs into quantified financial and investment impact
Build and maintain portfolio forecasts across annual, multi-year and long-range planning horizons
Define and track portfolio metrics, milestones and KPIs; monitor performance against plan and surface variances and risks with recommended actions
Support investment allocation and budget phasing aligned to portfolio priorities
Prepare insights, materials and recommendations for portfolio and product reviews and investment governance cycles
Present trade-offs, risks and financial impact to senior leadership and influence decisions through structured, data-backed recommendations
Consolidate scientific, clinical, regulatory, commercial, finance and technology inputs into a coherent portfolio view
Partner across development, operations, finance and technology teams to align assumptions, data and methods
Set analytical standards, mentor and guide analysts, and champion responsible use of Gen AI and advanced analytics

Requirements

• Bachelor’s degree in a quantitative field (engineering, computer science, mathematics, economics, operations research, finance) or life sciences with specific quantitative experience
• Demonstrated experience in financial and operational modelling, valuation, investment analysis, decision science or a related field
• Demonstrated expertise translating data science insights into actionable recommendations
• Experience defining problem statements from limited initial information and managing multiple parallel priorities to agreed timelines
• Experience preparing and presenting executive-level analysis and influencing decisions through structured communication and data-backed recommendations
• Proficiency with at least one analytical or programming language, such as Python or R
• Exposure to data science app development frameworks such as Shiny, Streamlit or Dash
• Advanced degree (MBA, MSc or equivalent) in a finance, quantitative, scientific or business discipline (preferred)
• Direct exposure to drug development and R&D portfolio or investment decision-making in pharmaceutical, biotech or a related industry (preferred)
• Strong data science fundamentals, particularly Monte Carlo modelling (preferred)
• Experience with web app development (preferred)
• Experience with Generative AI tools and frameworks (preferred)
• Experience with standard software development tools and practices, including Git, CI/CD and containerization (preferred)

Core Competencies

Demonstrates expertise in financial and operational modeling, investment analysis, and decision science, with a strong ability to translate complex data insights into actionable recommendations. Proficient in analytical programming languages and experienced in developing portfolio analytics toolkits and methodologies.

Highest-signal resume keywords

• Financial And Operational Modeling
• Monte Carlo Simulation
• Python Or R Proficiency
• Data Science Insights Translation
• Investment Decision-Making

Hard Skills

• NPV/rNPV Valuation Models
• Scenario And Sensitivity Analysis
• Portfolio Optimization
• Forecasting Methodologies
• Valuation And Investment Analysis
• KPI Tracking
• Analytical Standards Setting
• Business Case Development
• Monte Carlo Modelling
• Web App Development

Soft Skills

• Structured Communication
• Influencing Decisions
• Mentoring And Guiding Analysts
• Problem Definition
• Managing Multiple Priorities

Certifications & Qualifications

• Bachelor’s Degree In Quantitative Field
• Advanced Degree (MBA, MSc) Preferred

Industry Keywords

• Pharmaceutical
• Biotech
• R&D Portfolio
• Investment Governance
• Data Quality
• Analytics Tooling

Tools & Technologies

• Shiny
• Streamlit
• Dash
• Git
• CI/CD
• Generative AI Tools