At a Glance
- Tasks: Validate and oversee risks of advanced models, including AI, at a pioneering bank.
- Company: Join Starling, a disruptive tech bank transforming how people manage their money.
- Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
- Why this job: Be part of a team reshaping banking with innovative risk management practices.
- 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 Β£ per year.
Hello, we're 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. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're 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 - 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!
Responsibilities
- 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 high-level 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.
Qualifications
- 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 problem-solving 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 dayβs 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 family-friendly 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
Starling Bank is an equal opportunity employer, and weβre proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
Lead Risk Analyst - Model Validation in London employer: Starling Bank
Contact Detail:
Starling Bank Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Lead Risk Analyst - Model Validation in London
β¨Tip Number 1
Network like a pro! Reach out to current or former employees at Starling on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
β¨Tip 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 us your problem-solving skills!
β¨Tip Number 3
Donβt just focus on your technical skills; highlight your communication abilities too. We want to see how you can present complex findings clearly to different audiences. Practice explaining your work in simple terms!
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Starling. Letβs make banking better together!
We think you need these skills to ace Lead Risk Analyst - Model Validation in London
Some tips for your application π«‘
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see why you're excited about joining Starling and how you can contribute to our mission of reshaping banking.
Tailor Your Experience: Make sure to highlight your relevant experience in model validation or development. We love seeing how your skills align with what we do, so donβt hold back on showcasing your expertise in analytical tools like Python or R!
Be Clear and Concise: We appreciate clarity! When articulating your findings or experiences, keep it succinct and straightforward. Remember, weβre looking for someone who can communicate complex ideas effectively, especially to senior leadership.
Apply Through Our Website: Donβt forget to submit your application through our website! Itβs the best way for us to receive your details and ensures youβre considered for the role. Plus, itβs super easy to do!
How to prepare for a job interview at Starling Bank
β¨Know Your Models Inside Out
Make sure you have a solid understanding of the different types of models you'll be validating, especially those related to credit risk and AI. Brush up on IFRS 9 and forecasting techniques, as well as any specific methodologies used at Starling.
β¨Prepare for Technical Questions
Expect to be quizzed on your experience with analytical tools like Python, R, SQL, and SAS. Be ready to discuss how you've used these tools in past projects, and think of examples that showcase your problem-solving skills and attention to detail.
β¨Practice Clear Communication
Since you'll need to present findings to senior leadership, practice articulating complex concepts in a straightforward manner. Use examples from your previous work to demonstrate how you can convey technical information to non-technical stakeholders.
β¨Engage with Stakeholders
Show that you understand the importance of building relationships with model developers and owners. Think of ways you've successfully collaborated in the past and be prepared to discuss how you would approach stakeholder engagement at Starling.