At a Glance
- Tasks: Analyse data to develop fraud strategies and automate reporting processes.
- Company: Join Lendable, a fast-paced fintech company focused on innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for growth.
- Other info: Collaborative team environment with ownership of analytics workflow.
- Why this job: Make a real impact by protecting customers while driving business growth.
- Qualifications: Basic Python and SQL skills, with a passion for problem-solving.
The predicted salary is between 28000 - 38000 £ per year.
Lendable is seeking a super-smart fraud strategy analyst who loves solving problems and has basic Python and SQL skills.
You’ll produce data-driven insights to influence fraud strategy for UK portfolios in a fast-paced fintech environment.
You’ll join a collaborative team, own parts of the analytics workflow, automate reporting, and help protect customers while enabling growth.
Hybrid working offered with in-office days.
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Fraud Strategy Analyst — Graduate (SQL & Python) in London employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Strategy Analyst — Graduate (SQL & Python) in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like hackajob when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like hackajob.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like hackajob.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through hackajob’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Fraud Strategy Analyst — Graduate (SQL & Python) in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at hackajob, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at hackajob aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at hackajob
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
