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Senior Analyst, Political Science

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Fitch Group
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 75000 - 110000 GBP Yearly GBP 75000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

BMI is currently seeking a Political (Social) Scientist (Masters / PhD) / Data Scientist based out of our London or Manchester offices.

BMI's systematic, independent, and 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.

At BMI, we're proud of the work we do to help our clients manage risks and opportunities in global markets, which began in 1984 and continues to this day. By stepping into a role here, you will help shape the strategic decisions of the world's leading organizations. 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.

Want to learn more about a career at BMI? Visit: (Use the "Apply for this Job" box below)./

About the Team

BMI's Geo Quant 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 member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across political risk and other domains.

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.

How

You'll Make an Impact
  • 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.
You May be a Good Fit if
  • 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…
Position Requirements
10+ Years work experience
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