At a Glance
- Tasks: Lead liquidity management and optimise financial strategies for a multi-product portfolio.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Why this job: Make a real impact on financial strategies while working with a diverse team.
- Qualifications: Expertise in SQL, data analytics, and a strong understanding of fintech economics.
- Other info: Dynamic environment that values diversity and empowers every team member.
The predicted salary is between 60000 - 84000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world’s money.
You’ll be joining the Grow Squad. We manage a complex, multi-product portfolio including Current Accounts, Savings, Investments, and Digital Assets.
Focus Area: While other teams focus on acquiring customers, your mission is to ensure we serve them safely, sustainably, and profitably.
What You Will Do
- Own Liquidity Management (Hands-on)
- Liquidity Management: You will build and own the models that manage assets liquidity across our multi-product portfolio (Assets, Savings, Investments). You ensure we always have the right funds in the right places to support customer activity.
- Optimise Tradeoffs: You will build a framework that helps us to make decisions to optimise between liquidity usage, risk and cost.
- Risk Strategy: You will define the "Financial Risk Strategy" for the Grow squad, moving us from reactive "fire-fighting" to proactive risk monitoring.
- Stakeholder Partnership: You will be the primary data partner for Wise’s Treasury, Risk, and Finance leadership, giving them the confidence that the Grow squad is operating within safe limits.
- You are a strategic data leader who bridges the gap between technical analytics and business risk. You don’t just report on what happened; you influence what happens next.
- Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems.
- Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech product (LTV, CAC, Margin). You know how to balance aggressive growth targets with necessary risk controls, ensuring we scale safely.
- Thriving in Ambiguity: You are comfortable navigating ambiguity to find the right path forward and gaining clarity.
- Strategic Impact: You can point to specific decisions where your influence changed a product roadmap, pricing model, or operational process.
- Communication: You are a storyteller with data. You move beyond dumping numbers to provide context, explain the "why," and drive leadership to the "so what".
We’re people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We’re proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it’s like to work at Wise visit Wise.Jobs.
Analytics Manager - Liquidity (Investments) in London employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager - Liquidity (Investments) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Wise. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for the interview by knowing your stuff. Brush up on liquidity management and risk strategies. Show them you’re not just a data whiz but also understand the business side of things.
✨Tip Number 3
Be ready to share your success stories. Think of specific examples where your data insights made a real impact. This is your chance to shine and show how you can influence decisions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Wise team.
We think you need these skills to ace Analytics Manager - Liquidity (Investments) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Manager role. Highlight your experience with liquidity management, SQL skills, and any relevant projects that showcase your ability to influence product decisions.
Craft a Compelling Cover Letter: Your cover letter should tell a story about your journey in analytics and how it aligns with Wise's mission. Don’t just repeat your CV; use this space to explain why you’re passionate about liquidity management and how you can contribute to the Grow Squad.
Showcase Your Technical Skills: Be specific about your technical mastery in SQL, Python, and data pipeline tools like dbt and Airflow. Include examples of how you've used these skills to solve complex problems or optimise processes in previous roles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and understand how you fit into our diverse and inclusive team at Wise.
How to prepare for a job interview at Wise
✨Know Your Numbers
As an Analytics Manager, you'll need to demonstrate your understanding of key metrics like LTV, CAC, and Margin. Brush up on these concepts and be ready to discuss how they relate to liquidity management and risk strategy during your interview.
✨Showcase Your Technical Skills
Make sure you can talk confidently about your SQL expertise and experience with tools like dbt, Airflow, and Snowflake. Prepare examples of how you've built data pipelines or automated processes using Python, as this will show your technical mastery.
✨Communicate Like a Storyteller
Remember, it's not just about the data; it's about the story behind it. Practice explaining complex analytics in simple terms, focusing on the 'why' and 'so what'. This will help you connect with your interviewers and demonstrate your ability to influence decisions.
✨Prepare for Ambiguity
Since the role involves navigating ambiguity, think of examples from your past where you've successfully tackled uncertain situations. Be ready to discuss how you found clarity and made strategic decisions, as this will highlight your problem-solving skills.