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- Tasks: Lead a team to develop advanced machine learning models for credit risk and affordability.
- Company: Join a fast-growing B2B FinTech backed by billionaires and a major global investment firm.
- Benefits: Enjoy opportunities for knowledge exchange and collaboration with experienced leaders in the field.
- Why this job: Be part of an innovative team shaping the future of finance with impactful data solutions.
- Qualifications: Experience in data science, machine learning, and a passion for FinTech is essential.
- Other info: Work closely with a former Data Scientist CEO and a supportive team of 35.
The predicted salary is between 72000 - 108000 £ per year.
Head of Data Science (hands on) FinTech
Head of Data Science role with a fast-growing B2B FinTech company, backed by multiple billionaires and a major global investment firm.
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.
Youll join an existing team of 2 Data Scientists within a wider business of 35 staff and report to the Chief Product Officer. The CEO is a former Data Scientist, providing opportunities for knowledge exchange!
The Head of Data Science will work on:
- Credit risk models: Collaborate with the Chief Risk Officer to develop advanced machine learning models.
- Affordability models: Utilize bureau and open banking data to create transaction classification models and determine safe borrowing limits for individual businesses.
- Product improvements: Use predictive models to identify key drivers of the conversion funnel and work with the CPO to enhance customer experience.
- Sales and distribution: Apply predictive models to identify UK businesses most interested in the company\’s products and services.
- Data analytics tech: Partner with the CTO and developers to establish optimal data and analytics environments, including rapid model deployment and data lake creation using AWS Lake Formation.
Apply now for this Head of Data Science role with a rapidly growing FinTech.
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Head of Data Science (hands on) FinTech (London) employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science (hands on) FinTech (London)
✨Tip Number 1
Network with professionals in the FinTech space, especially those who have experience in data science. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in credit risk and affordability models.
✨Tip Number 2
Familiarise yourself with AWS Lake Formation and other relevant data analytics technologies. Consider taking online courses or certifications that can help you demonstrate your hands-on skills in deploying machine learning models and managing data lakes.
✨Tip Number 3
Prepare to discuss your previous experiences in developing predictive models and how they impacted business outcomes. Be ready to share specific examples of how you've collaborated with cross-functional teams to drive product improvements.
✨Tip Number 4
Research the company’s current products and services, and think critically about how you could enhance their offerings using data science. This will not only show your interest but also your proactive approach to contributing to their success.
We think you need these skills to ace Head of Data Science (hands on) FinTech (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in FinTech. Emphasise your hands-on skills with machine learning models and any experience you have with credit risk or affordability models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or achievements that demonstrate your ability to lead a data science team and collaborate effectively with other departments.
Showcase Technical Skills: Clearly outline your technical skills related to data analytics technologies, especially those relevant to AWS Lake Formation and predictive modelling. Include any programming languages or tools you are proficient in that would be beneficial for the role.
Highlight Leadership Experience: Since this is a Head of Data Science position, make sure to highlight any previous leadership roles or experiences where you successfully managed a team or project. Discuss how you foster collaboration and knowledge exchange within teams.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Skills
As a Head of Data Science, you'll need to demonstrate your expertise in machine learning and data analytics. Be prepared to discuss specific projects where you've developed credit risk or affordability models, and highlight the technologies you used, especially if they relate to AWS.
✨Understand the Business Context
Familiarise yourself with the FinTech landscape and the specific challenges faced by businesses in this sector. Showing that you understand how data science can drive product improvements and enhance customer experience will set you apart.
✨Prepare for Collaborative Discussions
You'll be working closely with various stakeholders, including the Chief Risk Officer and Chief Product Officer. Think about how you can effectively communicate complex data concepts to non-technical team members and prepare examples of successful collaborations.
✨Ask Insightful Questions
Interviews are a two-way street. Prepare thoughtful questions about the company's data strategy, the existing team's dynamics, and how they envision the role evolving. This shows your genuine interest and helps you assess if the company is the right fit for you.
