Quantitative Analyst (Portfolio & Credit Risk)
Quantitative Analyst (Portfolio & Credit Risk)
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Job Description
Quantitative Analyst (Portfolio and Credit Risk)
London
35000 - 38000
Discretionary Company Bonus Scheme
Monday Friday 9am 5.30pm (37.5h pw)
Our perks
- 25 days holiday (rising to 28 after 3 years service) pro rated plus bank holidays to take time to recharge and do something you love.
- Private Medical - via vitality with reward schemes paid for you and your family.
- Health cash plan - via Simply Health for employees and children claiming money back for dental optical etc
- Pension Oodle will contribute 5% of your salary into your pension pot to help you save for the future
- Life Assurance - 4 x annual salary - benefit funded by Oodle
- Free breakfast drinks and fruit in the office you can help yourself to cereals toast fizzy drinks and lots of fruit.
- Employee discounts discounts you can access anywhere anytime for all major shops.
- 1 day volunteer day per year an opportunity to give back to the community each year.
- Mental health care 6 free counselling sessions via our EAP (Employee Assistance Programme).
- Paid sick leave enhanced company sick pay.
- Enhanced family leave we provide enhanced family leave for primary and secondary caregivers.
Oodle who are we
Our mission is to empower our customersby delivering simple experiences straightforward lending products and compassionate support from application to final payment and beyond.
Upgrading. Growing a family. Fresh starts. Big moves. Bumps in the road.-we finance cars but more importantlywe finance people. Since 2016 weve supported tens of thousands of customers on their car buying journey
As an employer your career is important to us. Were committed to creating an environment where you can thrive as yourself. We celebrate diversity and inclusion actively working to make sure every team member feels supported on their journey with us. Our Talent Development team is here to support your growth providing opportunities for learning development and career progression.
The Role
Quantitative Analyst (Portfolio and Credit Risk) at Oodle Car Finance.
Location and working style
Were based in Shoreditch London a 3-minute walk from Old Street station. While we operate under a hybrid working model initial onboarding requires 2-3 office days weekly. This ensures a smooth learning curve and fosters team integration.
Overview:
Were on the lookout for a Graduate Quantitative Analyst Portfolio and Credit Riskto join our expanding team. This role will give you an opportunity to dive into a world of data strategic analytics and funding driven initiatives all while reporting into the Credit Risk function. Youll not only be influencing our approach to driving profitable originations but will also touch upon areas like Customer Management Credit Risk and Finance. - sounds exciting right!
Your impact:
- Play a pivotal role in enhancing the profitability of Oodles Hire Purchase product by offering insights optimisations and cost efficiencies.
- Forge robust partnerships across Oodle ensuring key insights monitoring and oversight are efficiently communicated to a spectrum of teams from operations to senior stakeholders.
- Drive initiatives to enhance Oodles credit risk strategies making use of both internal and external datasets.
- Delve into Oodles portfolio data ensuring our agreements consistently meet performance standards.
- Contribution to refining view of new origination unit economics.
- Contribute to refining Oodles loss forecasting and provisioning methodologies offering a clearer lens on risk and return.
- Drive strategic initiatives in credit risk management optimising processes and offering actionable insights to the broader team.
Who you are:
Highly numerate graduate or junior analyst with a STEM or financial background. This could include qualifications such as a BSc MSc or PhD in areas like mathematics statistics chemistry physics economics or finance but other relevant qualifications or experience will also be considered.
Analytical thinker with a natural aptitude for identifying patterns and deriving meaningful insights from data with the ability to work with both quantitative and qualitative data sources.
A proactive problem solver comfortable working both independently and collaboratively with the ability to tackle challenges directly linked to the businesss performance.
Strong communication and interpersonal skills are essential as the role involves interaction with a broad range of stakeholders.
A genuine interest in Finance Economics and FinTech.
Proficient in Microsoft Office especially Excel and PowerPoint.
Experience with coding (e.g. SQL Python) data processing data visualisation or credit risk is beneficial but not essential.
Experience with Excel modelling is considered an advantage.
Hiring Process
- Online Test -To be completed within 48 hours
- Preliminary Interview (10 mins): Week commencing 7 July 2025
- Online group task (virtual 2 hours): Week commencing 14 July 2025
- Interviews (In office 2 hours): Week Commencing 14 July 2025
Our Values
Our values are our personal brand and lay the foundation of what we care about the most. They provide us with guidance so we can work towards the same goals. They are our DNA and are kept at the forefront of every Oodlers mind when making business decisions.
- Embrace being human empathy and diversity make us stronger.
- Strive for awesome its awesome when we do better every day.
- Everyones a builder were in this together and we win as a team.
- Bravely honest were honest with ourselves and everyone else.
- Think customer theyre at the heart of everything we do.
To find out more about our culture and what happens at Oodle check out our LinkedIn and Instagram.
Oodle is proud to be an inclusive workplace and we recognise diversity of experience thoughts and backgrounds leads to better customer outcomes and an environment where our colleagues can thrive. We have several DEI networks which are made up of our Oodlers who strive to make positive impacts to our cultures.
Wed love if you could submit your application online but if you need an alternative method or need reasonable adjustments to take part in the interview process please email .
To find out how we handle your personal data please refer to our .
Required Experience:
IC
Employment Type
Full Time
