Senior Software Engineer II - Risk & Control Governance

Senior Software Engineer II - Risk & Control Governance

Full-Time 56700 - 69300 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build governance and assurance systems for risk assessment at Wise.
  • Company: Join Wise, a global tech company revolutionising money management.
  • Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
  • Other info: Diverse and inclusive team environment with a focus on collaboration.
  • Why this job: Make a real impact on financial safety and data integrity.
  • Qualifications: Strong backend engineering skills and experience with data governance.

The predicted salary is between 56700 - 69300 £ per year.

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.

Job Description

We're looking for an experienced Senior Product Engineer to join the Risk & Control Governance team / Risk Assessment Group. You'll be instrumental in building the governance, assurance, and data foundations that ensure every risk decision at Wise is consistent, explainable, auditable, and continuously monitored. This role works at the intersection of the Risk API platform, Product, and Financial Crime (FinCrime) teams — offering a unique opportunity to build the systems that give Wise confidence in every risk assessment it operates at scale.

You will be the driving force behind the platform's trustworthiness and integrity, focusing on:

  • Data Governance: Building and maintaining data ownership, lineage, and quality monitoring systems that ensure every risk decision is powered by trusted data.
  • Control Assurance: Designing continuous monitoring and validation systems that verify controls perform as intended — including trigger validation, drift detection, coverage analysis, and control health scoring.
  • Auditability & Explainability: Implementing end-to-end audit trails, change history tracking, and explainability tooling that enables one-click regulatory evidence generation.
  • Scalable Solutions: Designing robust, high-throughput solutions that handle large volumes of data and can be quickly understood and scaled across multiple distinct risk domains.

What will you be working on?

You will join the team at a pivotal moment, with your contributions being immediately visible and critical to the success of the entire Risk Assessment platform's governance layer. The core challenge for the team — and your immediate focus — is to build the assurance and governance foundations that the platform currently lacks, ensuring every control can answer: Was the right trigger used? Was the right data available? Was the right decision made? Is the control still effective?

Your immediate impact will be to:

  • Build Data Trust: Implement data quality monitoring, data contracts, and lineage tracking that give the organisation full traceability from risk decisions back to source data.
  • Deliver Continuous Assurance: Design and build automated monitoring systems that continuously validate control effectiveness — detecting drift, false positives/negatives, and coverage gaps before they become incidents.
  • Enable Auditability: Create audit trail infrastructure and explainability tooling that dramatically reduces the effort required for regulatory reporting and compliance evidence generation.
  • Integrate with Risk API: Work closely with the Risk API team to embed governance and assurance capabilities into the core platform, ensuring clean integration points and shared data contracts.

Qualifications

What do you need?

  • Strong Backend Engineering: Proven experience building high-throughput, data-intensive systems in any language. Hands-on expertise with Kafka, SQL and NoSQL databases, and designing for scale and reliability.
  • Data Engineering Aptitude: Experience with data quality frameworks, pipeline orchestration, or lineage tracking. You understand what it takes to make data trustworthy at scale.
  • Systems Thinking: Ability to reason about complex distributed systems, identify failure modes, and design solutions that are both robust and operationally simple.
  • Ownership & Autonomy: Comfortable operating with ambiguity, defining your own work from high-level objectives, and driving delivery end-to-end without close direction.
  • Collaborative Mindset: Ability to work effectively across team boundaries — particularly with the Risk API team, Product, and FinCrime stakeholders — to align on contracts, data models, and integration patterns.

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.

Summary

  • Type: Full-time
  • Function: Engineering
  • Experience level: Mid-Senior Level
  • Industry: Financial Services

Senior Software Engineer II - Risk & Control Governance employer: Wise

Wise is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for a Lead ML / Data Scientist to thrive. With a hybrid working model, generous personal development budgets, and a commitment to employee growth, you will have the flexibility and resources to excel in your role while contributing to meaningful projects that redefine how money moves globally.

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Contact Details:

Wise Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer II - Risk & Control Governance

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Wise or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Wise.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Wise.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Wise that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Software Engineer II - Risk & Control Governance

Backend Engineering
Kafka
SQL
NoSQL databases
Data Quality Frameworks
Pipeline Orchestration
Lineage Tracking

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Wise.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wise and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Wise

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Wise uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.