Lead Data Analyst - Risk and Controls
Lead Data Analyst - Risk and Controls

Lead Data Analyst - Risk and Controls

Full-Time 75000 - 100000 £ / year (est.) No home office possible
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At a Glance

  • 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 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.

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.

Lead Data Analyst - Risk and Controls employer: hackajob

Wise is an exceptional employer that champions a culture of independence and innovation, allowing employees to carve their own paths while contributing to a mission of Money Without Borders. With a commitment to diversity and inclusion, Wise offers a collaborative environment where team members can grow alongside talented professionals from various disciplines, ensuring meaningful career development and the opportunity to make a real impact in the fintech landscape. Located in a vibrant setting, employees enjoy competitive salaries, stock options, and a supportive atmosphere that values every individual's contribution.
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Contact Detail:

hackajob Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Analyst - Risk and Controls

✨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 aligns with our goal of Money Without Borders, and be ready to discuss how your skills can help us achieve that.

✨Tip Number 3

Practice your storytelling skills! We love candidates who can turn data into compelling narratives. Think of examples from your past work where you influenced decisions with data and be ready to share those stories.

✨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

Analytical Skills
Product Intuition
Python
Advanced SQL
Business Intelligence Tools
Stakeholder Management
Data Analysis
Event Data Understanding
Mixpanel
Google Analytics
Amplitude
Communication Skills
Problem-Solving Skills
Experience in Financial Crime
Knowledge of Fintech Ecosystem

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the Lead Data Analyst role. Highlight your experience in risk and controls, and don’t forget to showcase your analytical skills and technical expertise in Python and SQL. We want to see how you can bring value to our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data-driven decisions and how they align with our mission of Money Without Borders. Let us know why you’re excited about the opportunity to work with cross-functional teams at Wise.

Showcase Your Projects: If you've worked on relevant projects, make sure to include them! Whether it’s building metrics or improving risk data infrastructure, we love seeing real examples of your work. This helps us understand your hands-on experience and problem-solving skills.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting role. Don’t miss out on the chance to join our amazing team!

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 experience with Python, SQL, and BI tools. Be ready to discuss specific projects where you used these skills to drive data-driven decisions, especially in risk management.

✨Understand the Fintech Landscape

Familiarise yourself with the fintech ecosystem and current trends. Be prepared to discuss how your knowledge of financial crime and customer onboarding can contribute to Wise's mission. Showing that you understand the industry will set you apart from other candidates.

✨Communicate Effectively

Strong communication skills are key for this role. Practice translating complex data into compelling narratives. Think of examples where you've influenced decisions with your insights, and be ready to share them during the interview.

✨Show Your Hustler Mentality

Wise values a proactive approach. Prepare to share instances where you've gone beyond analysis to implement solutions. Highlight your ability to work independently while collaborating with cross-functional teams, showcasing your initiative and drive.

Lead Data Analyst - Risk and Controls
hackajob

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