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 cutting-edge technology.
- Qualifications: Expertise in SQL, Python, and a strong understanding of fintech economics.
- Other info: Diverse and inclusive team environment focused on innovation and collaboration.
The predicted salary is between 75000 - 100000 £ 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. For everyone, everywhere.
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.
- 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 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) employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager - Liquidity (Investments)
✨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. Dive deep into liquidity management and be ready to discuss how you can optimise trade-offs. Show them you’re not just a numbers person, but a strategic thinker!
✨Tip Number 3
Practice your storytelling skills with data. Be ready to explain complex concepts in simple terms. Remember, it’s all about showing how your insights can drive decisions and impact the business.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Wise team.
We think you need these skills to ace Analytics Manager - Liquidity (Investments)
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 is your chance to tell your story. Explain why you're passionate about Wise's mission and how your background in analytics and risk strategy aligns with the role. Be genuine and let your personality shine through!
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve built data pipelines or used Python for automation, include specific examples. This will show us you’re not just a numbers person but a strategic thinker too.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our system quickly. Plus, it shows you’re serious about joining our team!
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 highlight your technical mastery.
✨Communicate with Clarity
Remember, you're not just a number cruncher; you're a storyteller with data. Practice explaining complex analytics in simple terms, focusing on the 'why' and 'so what' of your findings. This will show that you can bridge the gap between technical analysis and business impact.
✨Prepare for Ambiguity
Wise thrives in ambiguity, so be ready to discuss how you've navigated uncertain situations in the past. Think of examples where you found clarity and made strategic decisions despite a lack of clear direction, showcasing your ability to thrive in dynamic environments.