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- Tasks: Lead the development of predictive analytics and decision-support tools in securities finance.
- Company: Join a leading fintech firm at the forefront of innovation.
- Benefits: Enjoy a hybrid working arrangement and competitive salary.
- Why this job: Transform complex datasets and collaborate with top-tier financial institutions.
- Qualifications: 5+ years in SaaS and expertise in data architectures required.
The predicted salary is between 48000 - 72000 £ per year.
A leading fintech firm is seeking a Senior Product Manager (Data & AI) in London. This permanent role focuses on developing predictive analytics and decision-support tools in securities finance.
Ideal candidates will have:
- Over 5 years in SaaS
- Expertise in data architectures
- A passion for transforming complex datasets
The position offers a hybrid working arrangement and involves collaboration with top-tier financial institutions.
Interested candidates can apply by emailing their CV.
Senior PM, Data & AI - Fintech for Securities Finance in London employer: Marks Sattin (UK) Ltd
Contact Detail:
Marks Sattin (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior PM, Data & AI - Fintech for Securities Finance in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space, especially those who work with data and AI. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with predictive analytics and decision-support tools. This will give you an edge when discussing your expertise during interviews.
✨Tip Number 3
Stay updated on industry trends! Follow fintech news and developments in data architectures. Being knowledgeable about the latest advancements will impress potential employers and show your passion for the field.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes get your application noticed faster than through traditional channels.
We think you need these skills to ace Senior PM, Data & AI - Fintech for Securities Finance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in SaaS and data architectures. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for transforming complex datasets and how you can contribute to our mission in securities finance. Keep it engaging and personal.
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your expertise in predictive analytics and decision-support tools. Numbers and results speak volumes, so include them where possible!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Marks Sattin (UK) Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in data architectures and predictive analytics. Brush up on your knowledge of how these tools can transform complex datasets, as this will likely come up during the interview.
✨Showcase Your SaaS Experience
With over 5 years in SaaS being a requirement, prepare to discuss specific projects where you've successfully managed product development. Highlight your role in those projects and the impact they had on the business.
✨Understand the Fintech Landscape
Familiarise yourself with current trends in fintech, especially in securities finance. Being able to discuss recent developments or challenges in the industry will demonstrate your passion and commitment to the field.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration with top-tier financial institutions, think of examples where you’ve worked effectively in teams. Be ready to discuss how you handle differing opinions and drive consensus in a group setting.