Data Analyst - Risk & Controls

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Junior
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Analyze security, compliance, and risk data to define KPIs, identify improvement opportunities, and drive accountability. Build and optimize data pipelines using Python, REST APIs, dbt, and Airflow, while creating data visualizations and insights for stakeholders. The role focuses initially on security operations, incident response, data loss prevention controls, and measuring the effectiveness of Wise’s security frameworks.
Summary Generated by Built In
Company Description

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.

More about our mission and what we offer.

Job Description

The Squad:

Our Platform Tribe is building the foundations for Wise’s rapid pace of innovation and customer trust. By providing an internal platform as a product, we create a best-in-class developer experience, enabling our engineers to release new features fast and confidently, without compromising reliability and security.

The Security Squad is part of the Platform Tribe and offers a comprehensive suite of products that make sure we manage our security risks through governance, we detect and protect Wise from unauthorised access, and we respond to and recover fast from security incidents. Vulnerability Management, Threat Management, Change Management, Access Management and Compliance are core products and strategic themes of the Squad.

The Role:

We are seeking an experienced Data Analyst to join our Platform Tribe and Security Squad. This role is pivotal in shaping how we manage security and risk through data. You will play a key role using insights to drive strategic opportunities within Wise's security frameworks whilst building robust data pipelines to support these. 

Your initial focus will be on Security Operations and Platforms, from streamlining incident response times to measuring Data Loss Prevention controls and their effectiveness. As you deepen your expertise across Wise's security domain, you will help define "what good looks like" and establish robust metrics to track, evaluate, and maximise the real-world impact of these initiatives.

Qualifications

About You:

Soft Skills

  • Analytical Mindset: Strong ability to interpret data, identify trends, and drive data-based decision-making.

  • Strategic Thinking: Excellent ability to build trust and influence across various teams, conveying complex concepts clearly to influence diverse stakeholders.

  • Problem-Solver: Proactively identifies and implements solutions to improve data processes and analytics.

Technical Skills

  • 2+  years of experience in analytics

  • Proficient in SQL and familiar with data visualisation tools such as Looker, Superset, PowerBI, or Tableau.

  • Experienced in working with tools like DBT and Airflow for ETL processes.

  • Skilled in using REST APIs to develop and manage data integrations.

Additional Information

Why Should You Join Our Team?

  • Data-Driven Impact: You'll have the opportunity to redefine how we approach compliance and risk within the organisation, leveraging data to highlight areas for improvement and efficiency.

  • Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains.

  • Supportive Environment: Enjoy a healthy balance of independence and collaboration, backed by a team of dedicated experts across domains for when you need support.

What will you be working on?

  • Define KPIs: Collaborate with stakeholders to define and refine key performance indicators necessary for monitoring compliance and risk for our IT systems, ensuring data accuracy and relevance.

  • Driving Accountability: Establish clear ownership for each KPI and actively follow up with accountable stakeholders when targets or SLAs are missed. Ensure root causes are investigated, corrective actions are agreed and completed, and unresolved issues are escalated appropriately.

  • Opportunity Sizing:: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation.

  • Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management.

Commitment to Diversity:

Wise is dedicated to fostering a diverse and inclusive workplace. We strongly encourage applications from all backgrounds and are committed to providing equal opportunity in our employment practices.

If you are passionate about using your analytical skills to influence and improve IT operations within a leading international financial services company, apply now to join us at Wise!

Good Reads:

  • Wise Engineering Blog

  • Platform Engineering KPIs

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.

Skills Required

  • 2+ years of experience in analytics
  • Proficiency in SQL
  • Familiarity with data visualization tools such as Looker, Superset, Power BI, or Tableau
  • Experience with dbt and Airflow for ETL processes
  • Experience using REST APIs to develop and manage data integrations
  • Strong analytical mindset and ability to interpret data and identify trends
  • Strategic thinking and ability to influence diverse stakeholders
  • Proactive problem-solving and process improvement skills

What the Team is Saying

Wise Compensation & Benefits Highlights

  • Equity Value & Accessibility — Employee ownership through share awards is standard for permanent staff, and equity is described as a meaningful part of total compensation. This approach can make overall pay feel more competitive than base salary alone.
  • Leave & Time Off Breadth — Paid time off is highlighted as a strong part of the package, including specific praise from operations roles. Generous PTO contributes to a more favorable view of total rewards.
  • Healthcare Strength — Health insurance is called out positively alongside other core benefits. Strong coverage helps offset concerns about the cash components of pay.

Wise Insights

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The Company
9,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Flexible
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