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- Tasks: Lead data analysis to drive impactful decisions for Wise's FX Markets team.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Make a real difference in the financial world with innovative data solutions.
- Qualifications: 4-7 years experience, strong SQL and Python skills, analytical mindset.
The predicted salary is between 75000 - 115000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. 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.
Due to continued and rapid growth we’re on the hunt for a Lead Data Analyst to join our FX Markets team in Shoreditch, London. You’ll be part of a team that fundamentally powers the Wise product and mission!
What You’ll Be Doing
- Your principal responsibility will be to make an impact and lead us to better decisions for the company and our customers.
- Curating datasets, surfacing metrics, statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company.
- Helping us understand what’s driving our FX P&L and trading costs (hedging and cash management).
- Helping us optimise our rate service, to ensure we are offering the most accurate mid‑market rates to our customers.
- Helping us develop better hedging and trading strategies, as well as risk models, which should help us minimise FX risk and costs.
- Supporting our Cash and Asset Management (CAM) team to optimise the risk‑return of our investments portfolio.
- Working with other Product teams in order to support new products and features from Treasury’s perspective.
Who You Are
- 4-7 years experience in similar roles.
- Mathematical background.
- Strong SQL skills.
- Python/R.
- Strong analytical ability.
- Decent understanding of stats and statistical modelling.
- Data visualisation and storytelling ability.
- Ability to self‑organise and manage stakeholders.
- Demonstration of impact/going above and beyond basic role requirements.
Desirable
- FX or financial markets experience.
- DBT Data modelling in a warehouse context.
- Understanding of testing and experimental design.
- Legally authorised to work in the UK.
To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Treasury team includes Criminal and Credit checks.
What Do We Offer
- Salary: £75,000 – £115,000.
- Company Restricted Stock Units.
- Numerous great benefits in our London office.
Key Benefits
- Hybrid working.
- Paid annual holiday, sick days, parental leave and other leave opportunities.
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave.
We believe teams are strongest when they are diverse, equitable and inclusive. We celebrate our differences. Inclusive teams help us live our values and ensure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
Lead Data Analyst - Treasury (FX Markets) employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Treasury (FX Markets)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into FX markets and Wise's mission. Show us you’re not just another candidate; demonstrate your passion for making money management easier for everyone!
✨Tip Number 3
Practice your data storytelling skills. We want to see how you can turn complex data into clear insights. Use examples from your past work to illustrate your analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team.
We think you need these skills to ace Lead Data Analyst - Treasury (FX Markets)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Analyst role. Highlight your experience with SQL, Python/R, and any relevant FX or financial markets knowledge. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our mission at Wise. Be sure to mention specific projects or achievements that demonstrate your analytical abilities.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of how you've curated datasets, performed statistical modelling, or influenced decision-making in previous roles. We love seeing real impact!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at hackajob
✨Know Your Numbers
As a Lead Data Analyst, you'll be expected to have a strong grasp of data metrics and statistical modelling. Brush up on your SQL skills and be ready to discuss how you've used data to influence decisions in previous roles. Prepare specific examples that showcase your analytical abilities and how they’ve led to impactful outcomes.
✨Understand FX Markets
Since this role is focused on FX Markets, make sure you have a solid understanding of foreign exchange principles and trading strategies. Familiarise yourself with current trends in the market and be prepared to discuss how these could affect Wise's operations. Showing that you’re informed will demonstrate your genuine interest in the role.
✨Showcase Your Storytelling Skills
Data visualisation and storytelling are key components of this position. Prepare to present a past project where you transformed complex data into clear insights. Use visuals to support your narrative, and practice explaining your findings in a way that’s easy for non-technical stakeholders to understand.
✨Engage with the Team
During the interview, don’t just focus on your qualifications; engage with the interviewers about their experiences at Wise. Ask insightful questions about the team dynamics and how they collaborate on projects. This shows that you’re not only interested in the role but also in being a part of their culture.