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- Tasks: Lead data analysis to enhance risk controls and ensure regulatory compliance.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, stock options, and a diverse, inclusive work culture.
- Why this job: Make a real impact on global financial transactions and customer safety.
- Qualifications: 5+ years in data analysis, strong skills in Python and SQL.
- Other info: Join a dynamic team with opportunities for growth and innovation.
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.
We’re looking for a Lead Analyst who is passionate about our mission of Money Without Borders to partner with our product, engineering, risk and compliance teams to help drive data-driven decisions that would support building and scaling risk controls and assurance across our products. The focus of this team is to ensure continuous regulatory compliance across all our product streams. We’re the team that builds guardrails that ensure that our customers can transact on the platform with peace of mind, knowing that their accounts and funds are kept safe, and products adhere to global regulatory standards.
Responsibilities:
- Scale and improve our risk data infrastructure to enable our regional teams to dissect metrics at granular levels to proactively identify and mitigate against drivers of risk.
- Build out the metrics to monitor our controls and ensure that they are performing as required, as well as supporting control testing processes.
- Establish control efficiency frameworks by analysing whether controls are effectively reducing risk while not adversely impacting growth.
- Partner with product, engineering, product risk and compliance and other cross-functional stakeholders to influence decisions with data around regional controls and risk.
- Partner closely with FinCrime to add a regional lens on global risk engines to ensure local risk typologies are monitored and appropriately managed.
This Role Will Give You The Opportunity To:
- Choose your path to impact – we believe people are most empowered when they can act independently. So rather than telling you what to do, you’ll work with your team to create a vision of your own.
- Grow as a Product Analyst – Grow and inspire your team and others across Wise.
- Get amazing exposure to the full breadth and depth of our product while working with a group of multi-disciplinary teams of amazing, smart and dedicated product analysts, engineers, product managers, researchers, designers and many more.
- The freedom to have real impact – The opportunities you’ll identify are key to Wise reaching future millions of customers and redefining how payments work internationally at scale.
Ideal Candidate Would Have:
- At least 5+ years of experience.
- Strong analytical mind and product intuition, centered around the banking and financial industry.
- Technical skill-set in Python, advanced SQL, BI tools.
- Experience working with technical teams (PMs, engineers, analysts).
- Relevant experience in a data-driven and complex environment with limited guidance.
- Understanding of events data - Mixpanel / Google Analytics / Amplitude or similar.
- Strong communication and stakeholder management skills, with ability to translate data into compelling narratives.
- Hustler-mentality. You can take work beyond the analysis and get things done.
Good To Have:
- Experience in Financial Crime and/or Customer Onboarding domain.
- Knowledge of the fintech ecosystem.
- Knowledge of utilities like Airflow/Github/DBT.
- Experience with user-facing products and data.
Additional Information:
- Salary Range: £75,000 - £100,000 (depending on experience and interview performance).
- Restricted Stock Units (RSUs).
For everyone, everywhere. 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. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Lead Data Analyst - Risk and Controls in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Risk and Controls in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn and ask them about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us how your passion for data and risk management aligns with our goal of Money Without Borders. We love candidates who get what we're all about!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've used data to drive decisions in past roles. We want to hear how you’ve tackled challenges and made an impact.
✨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 us you’re genuinely interested in joining the Wise team!
We think you need these skills to ace Lead Data Analyst - Risk and Controls in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for Wise's mission shine through. We want to see how passionate you are about making money management easier for everyone, so don’t hold back!
Tailor Your Experience: Make sure to highlight your relevant experience in data analysis and risk management. We’re looking for someone who can connect the dots between data and decision-making, so be specific about your past roles and achievements.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your skills and how they align with the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
As a Lead Data Analyst, you'll need to demonstrate your analytical prowess. Brush up on your technical skills in Python and SQL, and be ready to discuss how you've used these tools to drive data-driven decisions in previous roles. Prepare specific examples that showcase your ability to dissect metrics and identify risk drivers.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech ecosystem and Wise's mission of 'Money Without Borders'. Be prepared to discuss how your experience aligns with their goals, especially in terms of regulatory compliance and risk management. Showing that you understand the industry will set you apart from other candidates.
✨Communicate Effectively
Strong communication skills are crucial for this role. Practice translating complex data into compelling narratives that can influence stakeholders. Think about how you can convey your insights clearly and concisely, as this will be key in partnering with cross-functional teams at Wise.
✨Show Your Hustler Mentality
Wise is looking for someone who can take initiative and get things done. Prepare to share examples of how you've gone beyond analysis to implement solutions or drive projects forward. Highlight your proactive approach and willingness to tackle challenges head-on, as this aligns perfectly with their culture.
