At a Glance
- Tasks: Validate and oversee advanced models, including AI, to manage risk effectively.
- Company: Join Starling, a disruptive bank reshaping the financial landscape with technology.
- Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
- Why this job: Be part of a team making a real impact in model risk management.
- Qualifications: Numerical degree or equivalent experience in model validation; analytical tool expertise required.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Hello, weâre Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. Weâre a fully licensed UK bank with the culture and spirit of a fastâmoving, disruptive tech company. Weâre a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices.
We are looking for a talented and passionate Lead Risk Analyst â Model Validation to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation/model build experience across a variety of models (e.g., credit risk, AI, forecasting) and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you!
As a Lead Analyst â Model Validation, you will be responsible for:
- Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models.
- Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines.
- Producing committee papers and presenting at committees.
- Presenting highâlevel validation findings to Senior leadership.
- Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle.
Requirements:
- Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience);
- Experience in model validation or model development, ideally across different model types. Knowledge of the AI models would be a bonus.
- Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets.
- Ability to articulate findings from analysis in a succinct and clear way that is suitable for the target audience.
- Organised, flexible and adaptable, with the ability to switch between tasks seamlessly.
- Strong problemâsolving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus.
Benefits:
- 25 days holiday (plus take your public holiday allowance whenever works best for you)
- An extra dayâs holiday for your birthday
- Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
- 16 hours paid volunteering time a year
- Salary sacrifice, company enhanced pension scheme
- Life insurance at 4x your salary
- Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton
- Generous familyâfriendly policies
- Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
- Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships
You may be put off applying for a role because you donât tick every box. Forget that! While we canât accommodate every flexible working request, weâre always open to discussion. So, if youâre excited about working with us, but arenât sure if youâre 100% there yet, get in touch anyway.
Weâre on a mission to radically reshape banking â and that starts with our brilliant team. Whatever came before, weâre proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and weâre proud of our ongoing efforts to foster diversity & inclusion in the workplace.
Lead Risk Analyst - Model Validation in London employer: Starling
Contact Detail:
Starling Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land Lead Risk Analyst - Model Validation in London
âšTip Number 1
Network like a pro! Reach out to current employees at Starling on LinkedIn or attend industry events. A friendly chat can give you insider info and might just get your foot in the door.
âšTip Number 2
Prepare for the interview by brushing up on your model validation knowledge. Be ready to discuss specific models you've worked with and how you tackled challenges. Show them you're not just a number cruncher, but a problem solver!
âšTip Number 3
Practice your presentation skills! Youâll need to present findings clearly to senior leadership, so rehearse explaining complex concepts in simple terms. Itâs all about making those connections and showing you can communicate effectively.
âšTip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows youâre genuinely interested in being part of the Starling team. Letâs make banking better together!
We think you need these skills to ace Lead Risk Analyst - Model Validation in London
Some tips for your application đ«Ą
Show Off Your Skills: Make sure to highlight your experience with model validation and any analytical tools youâve used, like Python or SQL. We want to see how your skills align with what weâre looking for!
Tailor Your Application: Donât just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Lead Risk Analyst role. It shows us youâre genuinely interested in joining our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that articulate your findings and experiences succinctly. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets to us quickly and efficiently. Plus, youâll find all the info you need about the role there!
How to prepare for a job interview at Starling
âšKnow Your Models Inside Out
As a Lead Risk Analyst, you'll be validating various models, so make sure you brush up on your knowledge of IFRS 9, forecasting, and AI/ML models. Be prepared to discuss specific examples from your past experience where you've successfully validated or developed models, highlighting the techniques you used and the outcomes achieved.
âšCommunicate Clearly and Confidently
You'll need to present validation findings to senior leadership, so practice articulating complex concepts in a clear and concise manner. Use examples to illustrate your points and ensure you can adapt your communication style to suit different audiences, whether they are technical experts or non-specialists.
âšEngage with Stakeholders
Building relationships is key in this role. Think about how you've collaborated with model developers and owners in the past. Prepare to share strategies for effective stakeholder engagement and how youâve ensured that validation findings are understood and acted upon within agreed timelines.
âšStay Updated on Regulations
Familiarise yourself with relevant regulatory guidelines like EBA guidelines, CRR, and PRA rules. Being knowledgeable about these will not only help you in the interview but also demonstrate your commitment to good model risk management practices. Bring up any recent changes in regulations that could impact model validation during your discussion.