At a Glance
- Tasks: Create and enhance risk models from scratch, making a real impact on business decisions.
- Company: Join a dynamic team focused on innovative risk modelling solutions.
- Benefits: Competitive salary up to £90,000, strong bonuses, and flexible remote work options.
- Other info: Collaborative environment with opportunities to work on diverse risk projects.
- Why this job: Be at the forefront of risk modelling, bridging complex techniques with actionable insights.
- Qualifications: Strong background in risk modelling, R, Python, or SAS, and excellent communication skills.
The predicted salary is between 54000 - 66000 £ per year.
We’re looking for a Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact!
This role is all about risk (we can’t stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments. As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated.
This role is also a chance to work on variations of risk; you’ll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more. You’ll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects.
What experience you’ll need:
- Strong background in risk modelling and using these insights to inform business decisions
- Proven experience building risk models from scratch and enhancing existing ones
- Excellent skills in R, Python, or SAS
- Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes
- Ability to present to stakeholders and translate risk issues into business applications
- Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.)
- Knowledge of model risk management
- Experience working outside regulated risk environments
Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling.
What you’ll get in return: Up to £70,000-90,000 base salary, plus a strong bonus and a comprehensive benefits package. You’ll work from the London office three days per week, with flexibility to work remotely the rest of the time.
What’s next? Got questions? Drop Tegan a message.
Senior Data Scientist (Risk Modeller) employer: ADLIB
Join a leading global production agency that values creativity and excellence in event management. With a strong focus on employee growth, you will have the opportunity to work alongside industry experts, manage high-profile luxury events, and cultivate meaningful client relationships in a dynamic and supportive work culture. Located in the heart of London, this role offers unique advantages such as access to a vast network of industry contacts and the chance to work on prestigious projects that push the boundaries of event production.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Risk Modeller)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ADLIB!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist (Risk Modeller) at ADLIB.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ADLIB.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist (Risk Modeller) at ADLIB, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist (Risk Modeller)
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 ADLIB, 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 ADLIB. 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 ADLIB
✨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 ADLIB!
✨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.
