At a Glance
- Tasks: Design and deploy quantitative models for advanced political risk analytics.
- Company: BMI, a leader in data-driven market insights with a collaborative culture.
- Benefits: Hybrid work, comprehensive healthcare, tuition reimbursement, and generous parental leave.
- Other info: Opportunities for continuous learning and community engagement.
- Why this job: Make an impact by innovating risk models and collaborating with experts in a dynamic environment.
- Qualifications: Experience in machine learning, big data analysis, and Python programming.
The predicted salary is between 55000 - 65000 € per year.
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.
About the Team
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.
Role Overview
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 (numpy, pandas, scikit‑learn, etc.).
- Familiarity with database management tools and techniques (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.
What Would Make You Stand Out
- Exposure to different cloud‑based data and analytics platforms (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.
Why Choose Fitch
- 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 & Well‑being: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational well‑being.
- 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.
Equal Opportunity Statement
Fitch is proud to be an Equal Opportunity and affirmative action employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
Senior Analyst, Political Science employer: PoliticalRiskJobs.com
BMI is an exceptional employer that fosters a dynamic and inclusive work culture, offering a hybrid work environment and a strong commitment to employee growth through dedicated training and mentorship programmes. With comprehensive healthcare benefits, supportive parenting policies, and a focus on community engagement, BMI empowers its employees to achieve both personal and professional goals while making a meaningful impact in the field of political risk analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst, Political Science
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to political science and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to the role. Think about how your experience aligns with the job description and be ready to discuss your approach to problem-solving in a collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at BMI.
We think you need these skills to ace Senior Analyst, Political Science
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Analyst role. Highlight your experience with machine learning models and data analysis, as these are key to what we’re looking for at BMI.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that show how you’ve successfully applied your knowledge in political science and data science.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and make sure your points are easy to understand, especially when explaining complex concepts.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at PoliticalRiskJobs.com
✨Know Your Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain how you've developed, refined, and monitored these models, as well as the specific methodologies you've used. This will show your depth of knowledge and ability to apply it in a practical setting.
✨Brush Up on Data Science Tools
Familiarise yourself with the data science libraries mentioned in the job description, like numpy, pandas, and scikit-learn. If you have experience with SQL or cloud-based platforms, be ready to share examples of how you've used these tools to solve real-world problems.
✨Prepare for Cross-Functional Collaboration
Since the role involves working closely with political scientists and backend developers, think of examples where you've successfully collaborated across different teams. Highlight your communication skills, especially in explaining complex technical concepts to non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in your previous roles and how you approached solving them. This could include anything from optimising risk models to extracting insights from unstructured data. Demonstrating your analytical thinking will resonate well with the interviewers.
