Back to jobs

Lead Product Analyst - Security Platform

London, United Kingdom

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Wise

What you’ll bring

All qualifications

Core experience

  • Proficient in Python, with experience in automation and building data pipelines.
  • Strong expertise in working with tools like DBT and Airflow for ETL processes.
  • Proficient in SQL and familiar with data visualization tools such as Looker, Superset, PowerBI, or Tableau.
Qualification wording
Proficient in Python, with experience in automation and building data pipelines.
Strong expertise in working with tools like DBT and Airflow for ETL processes.
Proficient in SQL and familiar with data visualization tools such as Looker, Superset, PowerBI, or Tableau.

Tools in this posting

  • Python
  • SQL
  • dbt
  • Looker
  • Power BI
  • Superset
  • Airflow
  • Tableau
Source — Tool mentions in context
What will you be working on? - Data Engineering → 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. - Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across security domains (such as Access Management, Vulnerability Management, Data Governance, etc.) to translate abstract compliance and testing requirements into concrete, measurable metrics, SLAs, and continuous monitoring dashboards.
Technical Expectations: - Proficient in Python, with experience in automation and building data pipelines. - Strong expertise in working with tools like DBT and Airflow for ETL processes.
- Skilled in using REST APIs to develop and manage data integrations. - Proficient in SQL and familiar with data visualization tools such as Looker, Superset, PowerBI, or Tableau. - Bonus: Familiarity with security frameworks (e.g., SOC 2, ISO 27001, NIST), and the concept of continuous control monitoring (CCM).
- Proficient in Python, with experience in automation and building data pipelines. - Strong expertise in working with tools like DBT and Airflow for ETL processes. - Skilled in using REST APIs to develop and manage data integrations.

Job description

View original posting ↗

Job Description

The Platform Engineering Tribe:

We are the driving force behind Wise, making sure everything runs smoothly. We support our engineering teams so they innovate, build and ship great code quickly and confidently. Our expertise spans Data, Machine Learning, Incident and Risk Management, Hardware, and System Efficiency, all designed to foster an unparalleled Engineering Experience.

The Role:

We are seeking an experienced Data Analyst to join our Platform Engineering and Security team. This role is pivotal in shaping how we manage compliance and risk through data. You will play a key role in building robust data pipelines to support continuous control monitoring while using insights to drive strategic opportunities within Wise's secure and compliant framework.

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?

  • Data Engineering → 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.

  • Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across security domains (such as Access Management, Vulnerability Management, Data Governance, etc.) to translate abstract compliance and testing requirements into concrete, measurable metrics, SLAs, and continuous monitoring dashboards.

  • Compliance and Risk → 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.

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

Qualifications

Technical Expectations:

  • Proficient in Python, with experience in automation and building data pipelines.

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

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

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

  • Bonus: Familiarity with security frameworks (e.g., SOC 2, ISO 27001, NIST), and the concept of continuous control monitoring (CCM). 

Soft Skills:

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

  • Critical Thinking: Help stakeholders to define what to measure, ensuring the resulting data accurately reflects control operating effectiveness.

  • 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.

Additional Information

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.

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

London, United Kingdom

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Jul 25, 2026
Recorded sightings
573
Last seen by us
Oct 9, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.