At a Glance
- Tasks: Develop and validate predictive models for credit risk using large consumer datasets.
- Company: Join a global leader in financial analytics with an inclusive culture.
- Benefits: Enjoy competitive pay, work-life balance, and professional development opportunities.
- Other info: Work in a dynamic environment with opportunities for international travel.
- Why this job: Make a global impact while collaborating on innovative projects in financial services.
- Qualifications: Master’s degree in a quantitative field and strong programming skills required.
The predicted salary is between 63000 - 77000 £ per year.
In this role, you contribute to international FICO Scores projects by developing and validating data-driven predictive models for credit risk applications. You’ll work with large-scale consumer credit datasets and collaborate with global clients to deliver actionable insights. You will apply statistical methods and machine learning to improve model performance and support decisions in financial services. The opportunity focuses on global impact, cross-functional collaboration, and applying FICO Scores expertise to diverse markets.
Pay / Benefits
- Inclusive culture
- Professional development opportunities
- Competitive compensation
- Work-life balance
- Employee resource groups
- Social events
Responsibilities
- Contribute to international FICO Scores projects through data analysis, model development, validation, and delivery activities
- Design, develop, and evaluate data-driven analyses and predictive/decision models for financial services problems
- Analyze large-scale consumer credit and credit bureau data to assess modeling suitability and support scoring solutions
- Apply statistical modeling, ML, pattern recognition, and performance inference to improve model performance
- Identify root causes of data and analytical issues and propose practical solutions
- Create, review, and present analytical work and modeling results to stakeholders
- Manage analytical work streams across multiple projects and adapt to changing priorities
- Communicate progress and risks with project teams and clients across time zones
- Travel occasionally domestic or international for client meetings or project needs
Key requirements
- Master’s degree in a quantitative/technical field (Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, Cognitive Science, or related)
- Relevant experience in financial services, fintech, insurance, consumer lending, or credit bureau environments (familiarity with credit risk and lending decisioning preferred)
- Strong programming and data analysis skills in Python, R, C++, Java, MATLAB, or similar
- Ability to analyze complex datasets, identify issues, and recommend practical solutions
- Self-starter with analytical mindset and ability to deliver high-quality work
- Excellent communication skills for stakeholders at different levels
- Ability to work both collaboratively and independently in cross-functional and client-facing settings
- Willingness to work on global projects and accommodate international time zones
- Exposure to cloud-based analytics platforms such as AWS, Azure, or GCP is a plus
- Curiosity and analytical mindset
- Proactive problem solving
- Strong written and oral communication
- Python
- R
- C++
Analytic Consultant employer: FICO
FICO is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for those looking to thrive in the fast-paced FinTech sector. With a strong emphasis on employee growth, we offer comprehensive training and development opportunities, alongside competitive benefits tailored to support your professional journey. Located in the vibrant UK market, our team enjoys the unique advantage of working at the forefront of financial innovation, making a meaningful impact in the industry.
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We think this is how you could land Analytic Consultant
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Analytic Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at FICO, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at FICO. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at FICO
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at FICO!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
