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Lead Risk Pricing Data Scientist

About Marshmallow

We started Marshmallow when we found out how unfair insurance prices are for people who move to the UK. All because the industry hasn’t given this huge cohort of people a second’s thought, and isn’t set up to price them properly. 

We saw an opportunity to do things differently, so we made it our mission to back the ones who step outside the norm. Since we started, we’ve helped 100,000s of people get a fairer deal on their car insurance. Using technology, we serve people that are often overlooked by financial services companies, solving important problems for people who need it most. 

We know there are millions of marginalised customers out there. And we know that they face unique problems that most companies aren’t even aware of. We believe that our future is helping these people by learning about their experiences, and building our company around their needs. And there are strong signs that there’s a need for a company like us. Earlier this year we hit profitability, which is a huge milestone, but the most exciting thing is that we’re only just getting started.

How we work

We’re really proud of the culture we’ve created. We push for progress every day, because we know that we’ll only hit big milestones by taking lots of smaller steps. We’re always open to helping our team mates, sharing our ideas, experience and knowledge to solve problems together. We take risks, think creatively and experiment relentlessly to meet our customer’s needs, and never pass blame when things go wrong. We encourage people at all levels to take ownership of their work, and to be bold in challenging how we do things. Everyone has a voice and the opportunity to make an impact. 

And autonomy and ownership are only possible with clear direction. That’s why we collaborate to do in-depth planning twice a year, and make sure we leave with clear goals and objectives that flow from top to bottom. To make sure we’re as aligned as possible across functions, most of our work rolls up into four tribes; Acquisition, Retention, Claims and Pricing, Underwriting & Fraud. Each tribe has multiple teams embedded in it, working cross-functionally to do great work.

We’re so excited for all of the challenges up ahead, and we need more people to help us tackle them! If life at Marshmallow sounds like it could be for you, explore our culture handbook or read our blog to find out more.

We’ve set up a small team which is building a new consumer credit product to market, and we are bringing all the same techniques which helped us price insurance to the credit space: bespoke underwriting and pricing systems, industry leading fraud algorithms and controls, and user-centric product design solutions.

We’re looking for a Lead Risk Pricing Data Scientist who will lead the development of our credit risk and pricing systems. This is a unique opportunity to shape a new system from the ground up, unencumbered by legacy systems or constraints. The Lead Risk Pricing Data Scientist will be a hands-on builder and help us develop a team over time. They will be part of a small team of engineers and product people, working independently from the wider business.

This role requires autonomy, drive, curiosity and collaboration.

What you’ll be doing:

  • Designing, developing, and deploying innovative new pricing and underwriting models to price new to country migrants. Our target market requires genuinely innovative underwriting solutions, and so you will be a leader in designing these solutions, using data science techniques to price internal and external data sets

  • Developing and owning robust risk monitoring and reporting processes to ensure we stay within appetite as we scale.

  • Being a champion of data and solidifying data-driven processes within the team.

  • Building a team of analysts and data scientists as we scale, and setting a culture of extremely high quality.

  • The role reports to the GM of Marshmallow Credit

You should apply if:

  • You have a bias for action. You are proactive at identifying opportunities and can unblock yourself to drive you and your team forward. You work hard and move at speed.

  • You can be very hands-on. Working in a new vertical means that you’ll be working as the sole credit risk analyst initially. You’ll need to be comfortable owning and making decisions with little support and getting your hands dirty.

  • You’re a strong communicator and facilitator and can comfortably prototype to explore and present your work.

  • You are deeply challenging. You challenge how things are done, both externally and internally. You are a natural sceptic. 

  • You’re a pioneer. You want to discover and scope new opportunities that may be uncharted territory. 

This isn't for you if

  • You need top-down direction. You will be the most experienced credit analyst in the company and will be expected to lead the strategy yourself.

  • You rely on a large team of doers. You should be excited by getting your hands dirty and designing the first systems and models yourself. 

What we're looking for from you:

Experiences that are essential

  • Experience building innovative productionised credit risk models

  • Experience directly leading or strongly contributing to credit risk strategies

  • Strong coding ability in Python and SQL

  • Experience using and deploying data science techniques

  • Ability to manipulate large data sets

  • 5+ years commercial experience

Experiences that will help you

  • Experience working in cross-functional teams

  • Experience in the car finance sector

  • Experience working with thin file customers

  • Experience working with open banking datasets

  • Experience managing a team

  • Experience in a high-growth company

Perks of the job:

  • Competitive bonus scheme - designed to reward and recognise high performance 🌟

  • Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that’s subscriptions, night classes (puppy yoga, anyone?), the big shop or a forest of houseplants. Pretty much anything goes 💰

  • Sabbatical Leave - Get a 4-week fully paid sabbatical after being with us for 4 years 🏝️

  • Work From Anywhere - 4 weeks work from anywhere to use, with no need to come to the office 🛫

  • Mental wellbeing support – Access therapy and mental health sessions through Oliva 💚

  • Learning and development – Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset 🤓

  • Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches 🏥

  • Medical cash plan - To help you with the costs of dental, optical and physio (plus more!)

  • Tech scheme - Get the latest tech for less 🖥

  • Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!

Our process

We break it up into 3 stages:

  • Initial call with Daniel, our Talent Acquisition Partner (30 mins)

  • A culture interview with our General Manager, Faris, to see if your work style fits our processes and values (1 hour)

  • A previous experience interview where you will discuss your journey so far and ways of working with Paul, our Director of Data Science & AI (45 minutes)

  • We’ll let you know if you’re invited to an interview or not. But, as a small team with a lot of applications to consider, we can’t give personal feedback on each application.

Everyone belongs at Marshmallow

At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias.

We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications.

We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.

Recruitment privacy policy

We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.

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What You Should Know About Lead Risk Pricing Data Scientist , Marshmallow

As a Lead Risk Pricing Data Scientist at Marshmallow in London, you'll embark on a remarkable journey to reshape how we approach credit risk and pricing. Our story began by challenging the status quo in insurance pricing, especially for those new to the UK, and now, we are excited to extend our innovative spirit into the credit space. Your role will involve designing, developing, and deploying cutting-edge pricing and underwriting models aimed at serving new migrants, ensuring they receive the best rates tailored to their unique situations. You'll be a hands-on builder, leading a small, dynamic team of engineers and product experts as we create a brand-new credit risk system free from legacy constraints. With a strong emphasis on data-driven decision-making, you'll champion processes that ensure we remain within our risk appetite while scaling. Not only will you be a leader in your domain by challenging conventional methods, but you'll also have the incredible opportunity to build and mentor a team of analysts and data scientists. Here at Marshmallow, we thrive on collaboration and creativity, making it the perfect environment for someone ready to take ownership and make a significant impact. If you have the passion to pioneer uncharted territories in credit risk modeling and a commitment to helping marginalized customers, we'd love for you to join our mission to create fairer financial solutions. This role blends autonomy and influence, making it an exciting chance for someone who thrives on challenges and innovation!

Frequently Asked Questions (FAQs) for Lead Risk Pricing Data Scientist Role at Marshmallow
What are the responsibilities of a Lead Risk Pricing Data Scientist at Marshmallow?

As a Lead Risk Pricing Data Scientist at Marshmallow, you will be responsible for designing and deploying innovative pricing and underwriting models tailored specifically for new to country migrants. Your role will encompass developing risk monitoring and reporting processes to ensure compliance as we scale, championing a data-driven culture, and building and mentoring a team of analysts and data scientists to maintain high standards within the growing department.

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What qualifications are required for the Lead Risk Pricing Data Scientist position at Marshmallow?

To be considered for the Lead Risk Pricing Data Scientist role at Marshmallow, candidates should have over 5 years of relevant commercial experience, including a strong coding ability in Python and SQL. Experience in building credit risk models, working with large datasets, and the capability to manipulate data effectively are essential. Additionally, a background in cross-functional teams and unearthing innovative solutions is highly valued.

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What are the key skills for a Lead Risk Pricing Data Scientist at Marshmallow?

The key skills for a Lead Risk Pricing Data Scientist role at Marshmallow include a strong background in data science techniques, exceptional problem-solving skills, and the ability to challenge established practices. Candidates should also demonstrate strong communication and leadership capabilities, as well as a proactive approach to identifying and capitalizing on emerging opportunities in credit risk.

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How does Marshmallow encourage innovation for the Lead Risk Pricing Data Scientist role?

Marshmallow fosters an environment of innovation by empowering the Lead Risk Pricing Data Scientist to challenge the norm and develop pioneering solutions. With no legacy constraints, you'll have the freedom to create and implement new credit risk systems, supported by a culture that values experimentation, autonomy, and collaboration across functional teams. This supportive atmosphere promotes creative thinking and problem-solving.

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What is the work culture like for the Lead Risk Pricing Data Scientist at Marshmallow?

The work culture at Marshmallow is grounded in collaboration, creativity, and accountability. Team members support each other, share ideas, and take ownership of their projects. Everyone's voice is heard, allowing for an inclusive environment. The company encourages taking risks and experimenting to meet customer needs, making it an inspiring place for a Lead Risk Pricing Data Scientist to thrive and drive significant change.

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Common Interview Questions for Lead Risk Pricing Data Scientist
Can you explain a complex credit risk model you built and the impact it had?

When discussing a complex credit risk model during your interview for the Lead Risk Pricing Data Scientist position, focus on the specific methodologies you employed, the challenges you faced, and the tangible outcomes. Highlight how your model improved risk assessment and ultimately benefitted the organization by demonstrating quantifiable results or process improvements.

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How do you approach market research for innovative pricing solutions?

In your answer, discuss specific strategies you use to gather market insights, such as analyzing competitor offerings and identifying gaps in the existing credit services. Emphasize your ability to leverage data, customer insights, and emerging industry trends to drive innovation in pricing solutions.

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What data science techniques do you find most effective in credit risk modeling?

Share your experience with various data science techniques, such as machine learning algorithms, statistical analysis, or big data processing. Explain why you believe certain techniques are particularly effective in credit risk modeling, backed by examples of when you successfully applied them in previous projects.

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How do you ensure data quality and integrity in your modeling processes?

Discuss the methods you use to validate data quality and integrity, such as setting data governance protocols or automated checks to identify discrepancies. Highlight the importance of maintaining high-quality datasets in delivering accurate modeling results and decision-making for credit risk.

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How do you manage cross-functional teams effectively?

When asked about managing cross-functional teams, share your strategies for fostering collaboration, ensuring clear communication, and aligning objectives among different departments. Mention specific tools or practices that facilitate teamwork and keep everyone aligned, especially in iterative development processes.

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What experience do you have with thin file customers in credit risk analysis?

Outline your understanding and experience with thin file customers, emphasizing your capacity to analyze alternative data sources and develop innovative credit risk models tailored to these individuals. Illustrate how you've previously addressed challenges in assessing risk for this demographic.

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Can you describe a time when you had to challenge conventional thinking in your role?

Provide an example of a specific scenario where you successfully questioned the status quo, illustrating your problem-solving approach and willingness to innovate. Discuss the thought process behind your decisions and the outcomes that derived from challenging conventional thinking.

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How do you stay updated on the latest trends in credit risk and pricing?

In your response, highlight the tactics you use to remain informed about industry trends, including attending conferences, participating in relevant webinars, and reading industry journals. Mention how using these channels enhances your ability to contribute effectively to your role at Marshmallow.

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What motivates you about the Lead Risk Pricing Data Scientist position at Marshmallow?

When answering this question, convey your passion for creating innovative pricing models, particularly for marginalized customers. Connect your motivations to Marshmallow’s mission and values, portraying how your experience aligns with their vision and how you are excited to make a difference.

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How would you build a team culture focused on high standards and innovation?

Articulate your vision for cultivating a strong team culture that prioritizes high standards and innovation. Discuss potential strategies such as encouraging open feedback, fostering autonomy, setting challenging goals, and providing ongoing professional development opportunities to inspire team members.

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Full-time, remote
DATE POSTED
December 21, 2024

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