Quantitative Financial Analyst

An exciting opportunity has arisen to join Admiral Money as a Quantitative Financial Analyst on a permanent basis.  

About Admiral Money

Admiral Money is an exciting, new division of Admiral Group. We have the freedom and innovation of a small start up with the security of a large parent company, Admiral. 

The journey started when we launched unsecured personal loans in June 2017. We went on to be the first direct to consumer car finance provider in December 2017. Since then, we have gone from strength to strength and have some exciting plans for the future.

We’re looking for people who are keen to learn, excited about getting stuck in and are ready for a challenge to help us to achieve our aim of creating a special lending business for our customers. 

The Role

Admiral Money is expanding, and an exciting opportunity has arisen for a Quantitative Financial Analyst to join the team. The role involves taking the lead on pricing analytics for our motor lending product. This role will be responsible for building and maintaining pricing models, monitoring actual portfolio performance relative to modelled expectations, and refining the pricing strategy. This role also involves taking the ownership of our pricing ‘Kernel’ which sits in Python; the role will therefore come with heavy Python use and hence a strong ability to code up financial models is a must.

At Admiral Money, we have several product verticals, one of which is Motor Finance. The Motor Finance industry is evolving and there is an opening in the market to provide a complete offering (HP and PCP) across digital and physical channels. In addition, we are seeing customers feeling more empowered and in-control which means it is vital we deliver relevant, customer-focused products. 

Here at Admiral, we are best placed to respond to this, with over 20 years’ experience in the Motor industry we are a highly trusted and respected brand. In addition, we have built deep data over many years across our millions of customers and we’re now ready to be in the driving seat! To do this we need to strengthen and grow our team to help us on our journey! 

The successful candidate will be able to quickly fit into a fast-moving, innovative, and high-profile environment, and will be required to hit the ground running. The role involves managing and evaluating our pricing strategy; candidates will be involved in setting direction and leading the way, whilst very much retaining a hands-on approach. 

The ideal candidate will possess a broad range of skills, including strong quantitative and analytical skills; proficiency with SQL for data extraction; Python and Excel for data analysis and modelling; and an understanding of building statistical models for predicting behaviours such as defaults and attrition.

As a Quantitative Analyst, you will provide the insight and challenge to the company to make informed rapid decision making that directly affects the prices we charge and the risks that we take. You will:

• Own the Python code which houses the financial model which sits as the core backdrop to our pricing calculation.
• Partner with our credit risk team to build and develop best-in-class risk models.
• Work closely with the wider motor product teams to continuously evolve and embed our pricing strategy. 
• Dive deep beneath surface numbers to unearth hidden trends and invaluable insights that will directly lead to Risk and Pricing changes.
• Enable our business units to leverage data to make changes across our business.
• Build strong understanding of competitive dynamics and customer segments.

Key Role Objectives

• Continuously seek to refine and improve the pricing model (both financial methodology and coding efficiency) by working with various across the business including product, finance and the technology teams.
• Elevate risk management by refining our probability of default models.
• Pioneer and own transformative analysis projects.
• Collaborate on strategic endeavours set to redefine our pricing model.
• Stay updated with emerging trends to continually revamp our Pricing strategy.
• Craft and present compelling insights, driving data-powered decisions.

About You

• You're inquisitive, with a knack for decoding market intricacies.
• You love transforming intricate data into captivating narratives.
• You’re driven by innovation, always on the lookout for improvement avenues.

Essential Skills

• Excellent coding skills (ideally Python), particularly working with financial models.
• Inventive mindset with an appetite for continual improvement.
• Solid analytical foundation, with proficiency in SQL and Excel.
• Stellar communication: Comfortably demystify complex data to stakeholders.

Desirables

• Experience working with car finance (i.e. HP and PCP) products.
• Demonstrable skills in using data insights for business enhancement.
• Familiarity with Cloud platforms (AWS/Azure/GCP) is a bonus.

Ready to be at the forefront of Admiral Money's exhilarating journey? Let’s redefine the future together!

Hybrid Working

This role can be fully remote with occasional visits into the Cardiff office. We are open to discussing individual working arrangements.  

Salary, Benefits and Work-Life Balance

At Admiral, we are proud to be a diverse business where we put our people and customers first. We have great benefits to ensure employees have a great work-life balance; it's one of the reasons we’re consistently voted one of the Sunday Times Best Big Companies to Work For in the UK.

All colleagues will receive 33 days holiday (including banks holidays) when they join us, and this will increase with length of service, up to a maximum of 38 days (including banks holidays). You also have the option to buy or sell up to five days of annual leave in addition to your allocation.

You can also view some of our other key benefits here.

Our Commitment to You

At Admiral, we are committed to being a diverse and inclusive workplace. Admiral is proud to be an equal opportunities employer and does not discriminate on the basis of race, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), national origin, gender, gender identity, sexual orientation, disability, age, or any other legally protected status.

All qualified applicants will receive equal consideration.

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