Senior Analyst, Political Science

BMI is currently seeking a Political Scientist (Masters / PhD) / Data Scientist based out of our London or Manchester offices. BMI’s systematic, independent, data‑driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions.

As a member of our team, your role will go beyond conventional boundaries. You will collaborate with industry experts, thought leaders, and visionary executives, collectively working towards shaping the future of businesses that span a multitude of sectors. Our people are at the heart of everything we do, and we continuously strive to offer our colleagues a great place to work, with opportunities to learn, innovate, develop their careers, and serve the community.

BMI’s GeoQuant team produces AI‑driven Political Risk data, which integrates politics and computer science to create high‑frequency, systematic country risk analytics that are transparent and can be validated. We build and maintain robust models that our customers use to identify and manage political risks to generate investment returns.

Joining as a Political Scientist (Masters / PhD) / Data Scientist with a strong background in quantitative social science and political economy to support country‑risk research and analysis, you will help shape the strategic decisions of the world’s leading organizations. Candidates will have the opportunity to explore, analyze, and write about our proprietary political risk dataset for different use cases and aid in product development.

As a Political Scientist / Data Scientist, you will design, build, and deploy quantitative models that power advanced analytics and insights for our clients. You will work closely with political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise will help us innovate and adapt our modeling frameworks to address diverse customer needs in a fast‑paced, collaborative environment.

• Design, build, and optimize risk models using our political risk data.
• Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Prototype and test new approaches for extracting insights from unstructured data for corporate or financial markets.
• Collaborate cross‑functionally with political scientists, data scientists, and backend developers.
• Explain ML/NLP model outputs and methodologies to non‑technical stakeholders.

• Proven experience developing, refining, and monitoring machine learning models.
• Substantial experience querying, cleaning, compiling, and analyzing big data.
• Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models.
• Familiarity with scenario analysis/stress‑testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required.
• Substantial experience with Python, especially data‑science‑relevant libraries (e.g., numpy, pandas, scikit‑learn, etc.).
• Familiarity with database management tools and techniques (e.g., SQL, S3, API protocols) preferred but not required.
• Understanding of model evaluation methods and metrics.
• Ability to operationalize non‑technical ideas into relevant research designs, features, and model outputs.
• Experience translating code between languages (primarily R to Python).
• Comfort working with legacy codebase.
• Experience writing production code, not just notebooks.

• Exposure to different cloud‑based data and analytics platforms (e.g. AWS, DataBricks, Snowflake).
• Advanced degree or certification in NLP, ML, or related fields.
• Familiarity with DevOps practices and tools.
• Demonstrable impact of technical solutions or projects on decision‑making.
• Experience working in fast‑paced, agile environments.
• Customer‑facing experience, notably in understanding end user needs and building collaborative relationships.
• Subject matter experience with political science, geopolitics, or country risk.

• Hybrid Work Environment: 3 days a week in office required.
• A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity.
• Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long‑term goals.
• Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing.
• Supportive Parenting Policies: Family‑friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively.
• Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe.
• Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community.

Fitch is committed to providing global securities markets with objective, timely, independent, and forward‑looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest.

Fitch is proud to be an Equal Opportunity and Affiliation Employer.