At a Glance
- Tasks: Own and develop financial models for cash flow forecasting and anomaly detection.
- Company: Join TRAKD, a dynamic fintech scale-up in London.
- Benefits: Competitive salary up to £140,000, equity options, and hybrid work model.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
- Why this job: Make a real impact in fintech while working closely with leadership.
- Qualifications: Strong statistical background and proficiency in Python required.
The predicted salary is between 140000 - 140000 £ per year.
TRAKD is seeking a Senior Data Scientist to join their team in London. The role involves owning models from exploratory analysis to production within a fintech scale-up environment.
With a competitive salary up to £140,000, candidates will work on cash flow forecasting and anomaly detection while enjoying direct access to leadership.
The position requires a strong statistical background, proficiency in Python, and a hands-on approach to building financial models.
Senior Data Scientist - Fintech, Hybrid London, Equity employer: TRAKD
TRAKD is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the fintech sector. With competitive salaries and direct access to leadership, employees are encouraged to grow their skills and take ownership of their projects, all while enjoying the vibrant atmosphere of London. The company prioritises employee development and offers unique opportunities to work on cutting-edge financial models, making it a rewarding place for ambitious data scientists.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Fintech, Hybrid London, Equity
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at TRAKD. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models and analyses. When you get the chance to chat with hiring managers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Be ready for technical interviews! Brush up on your Python skills and be prepared to discuss your approach to cash flow forecasting and anomaly detection. Practice makes perfect, so run through some mock interviews with friends or colleagues.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you’re genuinely interested in joining our team at TRAKD.
We think you need these skills to ace Senior Data Scientist - Fintech, Hybrid London, Equity
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your statistical background and Python proficiency in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with financial models!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience with cash flow forecasting and anomaly detection, as these are key areas we’re focusing on at TRAKD.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your passion for data science shines through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our fintech scale-up environment!
How to prepare for a job interview at TRAKD
✨Know Your Stats
Brush up on your statistical knowledge, especially around cash flow forecasting and anomaly detection. Be ready to discuss how you've applied these concepts in previous roles, as this will show your depth of understanding and practical experience.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a problem or explain how you've used Python to build financial models. Practising coding challenges related to data science can really help you shine.
✨Understand the Fintech Landscape
Familiarise yourself with current trends and challenges in the fintech industry. Being able to discuss how these factors impact data science will show that you're not just technically skilled but also understand the business context.
✨Engage with Leadership
Since you'll have direct access to leadership, prepare thoughtful questions that reflect your interest in the company's vision and goals. This shows that you're proactive and genuinely interested in contributing to the team's success.
