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: Earn up to £140,000 with equity options and direct access to leadership.
- Other info: Enjoy a hybrid work environment with great career growth potential.
- Why this job: Make a real impact in fintech while advancing your data science skills.
- 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
- a hands-on approach to building financial models
Senior Data Scientist - Fintech, Hybrid London, Equity in England 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 a strong emphasis on employee growth, team members benefit from direct access to leadership and opportunities to develop cutting-edge financial models in a supportive hybrid environment. The competitive salary and equity options further enhance the appeal of joining a forward-thinking scale-up in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Fintech, Hybrid London, Equity in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at TRAKD on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data models and analyses. This will help us demonstrate our hands-on experience and statistical prowess during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions, especially around cash flow forecasting and anomaly detection. We want to be ready to impress with our knowledge!
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our skills align with TRAKD's needs.
We think you need these skills to ace Senior Data Scientist - Fintech, Hybrid London, Equity in England
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 don’t miss out on any important updates from our team!
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 impress the interviewers and show that you're not just technically skilled but also industry-savvy.
✨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 not only focused on the role but also on how you can contribute to the bigger picture.
