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- Tasks: Lead data analytics for mortgage insights, enhancing decision-making and portfolio management.
- Company: Join NatWest, a major UK retail bank, in a dynamic and inclusive environment.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Be part of a simpler, tech-driven bank focused on sustainability and customer success.
- Why this job: Make a real impact on banking decisions with your analytical skills and creativity.
- Qualifications: Strong SQL and Python skills, plus experience in mortgage data and financial services.
The predicted salary is between 60000 - 75000 £ per year.
NatWest is a major UK retail bank, providing everyday banking services to over 19 million customers. The bank's expertise and services span retail, commercial and private banking. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces.
On behalf of NatWest, we are looking for a Data Analytics Manager (Mortgage Data) for a 12-month contract based in London (Hybrid - 2 days per week in the office).
Purpose of the role: As Data Analytics Manager (Mortgage Data), you will join a long-running strategic programme focused on improving hedging decisions, margin reporting, repricing, and portfolio insight across the mortgage book. The role operates at the intersection of customer behaviour insights and decisioning, supporting the business with analytics that directly inform portfolio management and hedging decisions.
What you'll do:
- Building and maintaining customer behaviour models and associated analytics.
- Delivering actionable management information across mortgage portfolio management, including Hedging and Securitisation.
- Supporting stakeholders in using insight from the analytics and modelling suite to drive effective portfolio and hedging decisions.
- Designing, building and enhancing dashboards and self-serve tools that allow business users to explore insights independently.
- Managing and promoting the effective use of analytics, models and dashboards across the franchise.
- Working closely with Treasury, Finance, Pricing and other BSM stakeholders to ensure insights are embedded into end-to-end balance sheet management processes.
The skills you'll need:
- Strong SQL and Python capability (must have).
- Extensive experience working with mortgage data.
- Significant experience in banking or financial services.
- Proven ability to build dashboards and visualisations end to end.
- AWS QuickSight experience would be beneficial.
- Snowflake experience.
We will only accept workers operating via an Umbrella or PAYE engagement model. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.
Data Analytics Manager (Mortgage Data) in Oxford employer: AMS CWS
Contact Detail:
AMS CWS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Manager (Mortgage Data) in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at NatWest or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for your interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects, especially with mortgage data. Show them you’re the right fit!
✨Tip Number 3
Don’t forget to showcase your dashboard and visualisation skills. Bring examples of your work to the interview. It’s all about demonstrating how you can add value to their analytics team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re here to support you every step of the way in landing that Data Analytics Manager role.
We think you need these skills to ace Data Analytics Manager (Mortgage Data) in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analytics Manager role. Highlight your experience with mortgage data, SQL, and Python. We want to see how your skills match what NatWest is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics in the banking sector and how you can contribute to NatWest's goals. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building dashboards or working with customer behaviour models, we want to see your hands-on experience that aligns with the job.
Apply Through Our Website: Don't forget to apply through our website! It’s the easiest way for us to receive your application and keep track of it. Plus, it shows you're serious about joining the team at NatWest!
How to prepare for a job interview at AMS CWS
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of mortgage data and analytics. Brush up on your SQL and Python skills, as these are crucial for the role. Be ready to discuss how you've used these tools in past projects.
✨Showcase Your Dashboard Skills
Prepare to talk about your experience in building dashboards and visualisations. Bring examples of your work, especially if you’ve used AWS QuickSight or Snowflake. This will demonstrate your ability to deliver actionable insights effectively.
✨Understand the Business Context
Familiarise yourself with NatWest’s business model and how data analytics supports their goals. Think about how your role as a Data Analytics Manager can impact portfolio management and hedging decisions, and be ready to share your thoughts.
✨Engage with Stakeholders
Be prepared to discuss how you’ve collaborated with various stakeholders in previous roles. Highlight your communication skills and how you’ve helped others understand complex data insights. This shows you can bridge the gap between analytics and business needs.