Finance Portfolio Analytics Manager

At GSK we unite science technology and talent to get ahead of disease together. Deciding which R&D projects to invest in and how to sequence resource and prioritise them is one of the most consequential judgements we make. The Portfolio Data Science team turns scientific clinical operational and financial inputs into the analysis and insight that guide those investment decisions across short- medium- and long-range horizons.

Position Summary

Reporting to the Head Data Science Analytics and AI the Finance Portfolio Analytics Manager builds and leads the analytical capability that underpins R&D portfolio and investment decision-making. You will design the models frameworks and dashboards the team relies on and lead ad hoc strategic analyses that answer complex high-stakes portfolio questions translating scientific and clinical information into quantified investment and financial impact.

This is a senior individual-contributor role. You will not have direct reports but you will act as the analytical lead for portfolio analytics setting standards guiding and mentoring analysts and being the trusted partner senior stakeholders turn to for rigorous decision-ready analysis.

Key Responsibilities

Analytics capability & methodology

Design build and own the portfolio analytics toolkit valuation models (NPV/rNPV) scenario and sensitivity analysis probabilistic and Monte Carlo simulation and portfolio optimisation and prioritisation approaches.

Establish reusable well-documented models templates and standards so that analyses are transparent reproducible and auditable.

Continuously improve forecasting methodologies data quality and reporting and analytics tooling.

Strategic & ad hoc analysis

Lead ad hoc strategic analyses to address complex ambiguous investment and portfolio questions defining the problem statement where only 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.

Portfolio performance & forecasting

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.

Decision support & governance

Prepare insights materials and recommendations for portfolio and product review discussions and investment governance cycles.

Present trade-offs risks and financial impact to senior leadership and influence decisions through structured data-backed recommendations.

Consolidate inputs from scientific clinical regulatory commercial finance and technology stakeholders into a coherent portfolio view.

Collaboration & enablement

Partner across development operations finance and technology teams to align on assumptions data and methods.

Set analytical standards and mentor and guide analysts; champion best practice and the responsible use of Gen AI and advanced analytics to accelerate and strengthen analysis.

Basic Qualifications

Bachelors degree in a quantitative field (engineering computer science mathematics economics operations research finance ) or life sciences with specific quantitative experience.

Demonstrated experience in financial & operational modelling valuation investment analysis decision science or a related area 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 least one analytical or programming language (e.g. Python or R) together with exposure to data science app development frameworks (Shiny Streamlit Dash etc.)

Preferred Qualifications

Advanced degree (MBA MSc or equivalent) in a finance quantitative scientific or business discipline.

Direct exposure to drug development and R&D portfolio or investment decision-making in pharmaceutical biotech or a related industry.

Strong data science fundamentals with particular exposure to Monte Carlo modelling

Experience with web app development either from a data engineering or UI perspective

Experience with Generative AI tools and frameworks

Experience with standard Software Development tools and practices (Git CI/CD Containerization etc. )

Work Arrangement

This role offers a hybrid working model with a mix of on-site and remote work. Remote or fully home-working arrangements are not available for this role.

Closing Date for Applications 20 September 2026 EOD

Please take a copy of the Job Description as this will not be available post closure of the advert.
When applying for this role please use the cover letter of the online application or your CV to describe how you meet the competencies for this role as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

Skills

Continuing Learning Data Science Decision Sciences Financial Modeling Financial Portfolio Management Financial Valuation Forecasting Influencing Without Authority Investment Decisions Investment Valuation Leadership Monte Carlo Modeling Net Present Value (NPV) Portfolio Analysis Portfolio Governance Portfolio Management Portfolio Prioritization Problem Solving Python (Programming Language) R Programming Scenario Analysis Stakeholder Management Statistical Methods Statistical Programming Valuation Modeling

Why GSK

Uniting science technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade as a successful growing company where people can thrive.

We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale.

People and patients around the world count on the medicines and vaccines we make so were committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients accountable for impact and doing the right thing is the foundation for how together we deliver for patients shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race color religion sex (including pregnancy gender identity and sexual orientation) parental status national origin age disability genetic information (including family medical history) military service or any basis prohibited under federal state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you we encourage you to explore with our hiring team what the opportunities are.

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