Abrar Admin

Wise Australia Investments

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;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 
About the role
You&rsquo;ll help us build the next generation of systems that help us run multi region, scalable processes to identify customers who they say they are and ensure any processes minimise the chance of financial crime manifesting throughout a customers lifecycle. You&rsquo;ll be embedded in one of our product teams, partner with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency.
What you&rsquo;ll do<ul><li>
Work on the fincrime analytics &lsquo;3 body problems&rsquo; of risk, friction and cost<ul><li>
Nearly every risk based decision needs to balance the inherent risks of onboarding criminals against user friction and operational costs</li><li>
Size opportunities, model impact on volume/cost/risk, and evaluate control changes and operational experiments.Quantify why documents are rejected and the effectiveness of recovery prompts</li></ul></li><li>
Help design scalable platforms<ul><li>
This is a team about building sustainable, long term foundations</li><li>
This isn&rsquo;t about short term growth hacking - you&rsquo;ll help build a long lasting platform</li></ul></li><li>
Embody a data-as-a-product mentality<ul><li>
Work with engineers to build well instrumented systems that allow us to understand end to end performance</li><li>
Define and maintain source‑of‑truth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance.</li><li>
Build self‑serve data assets and documentation so stakeholders can answer common questions independently</li></ul></li><li>
Stakeholder partnership<ul><li>
Translate questions from CDD Ops, KYC Controls, Product and Engineering into clear analytical plans; communicate insights, trade‑offs and recommendations.</li><li>
Shape the &lsquo;what next&rsquo; for product outcomes</li></ul></li></ul>
This is a Lead Analyst role. 
Qualifications 
About you<ul><li>
Able to design scalable data models from the backend to our data infrastructure</li><li>
Strong SQL with experience building robust pipelines</li><li>
Proficient with BI tools and designing decision‑ready dashboards.</li><li>
Clear communicator who can frame trade‑offs between risk, conversion and operational cost.</li><li>
Python for deeper analysis and automation.</li></ul> 

Nice to have<ul><li>
Familiarity with risk management frameworks</li><li>
Exposure to financial crime concepts (fraud, money laundering etc)</li><li>
Experience working in a platform orientated team</li></ul> 
Additional Information 
For everyone, everywhere. We're people building money without borders &mdash; 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 </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Lead Product Analyst -Personal Onboarding KYC

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;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 are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; 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 </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Lead Data Scientist (Quant) - Treasury FX

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;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 
About the role:
Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in.
Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains.
This is a greenfield opportunity - you'll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership.
How we work:
Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts.
We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research and architecture decisions through to production deployment and impact measurement. We value engineers who shape direction, not just execute tickets.
What will you be working on?<ul><li>
Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale</li><li>
Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms</li><li>
Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow</li><li>
Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains</li><li>
Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible</li><li>
Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making</li></ul>
What do you need?<ul><li>
Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints</li><li>
Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs</li><li>
Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre-computed embeddings, batching strategies)</li><li>
Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message-passing, sequence modelling</li><li>
Track record of influencing technical strategy across teams - you don't just build, you shape direction</li><li>
Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration</li></ul>
Nice to Have:<ul><li>
Experience in FinCrime, fraud detection, AML, or regulated financial services</li><li>
Experience with graph-based methods (GNNs, entity resolution, link analysis) in production</li><li>
Foundation model fine-tuning or LLM evaluation experience</li><li>
Experience establishing modern ML practices in organisations scaling their ML capabilities</li></ul>
Interested? Find out more:<ul><li>
How we work &ndash; a practical guide</li><li>
DEI @ Wise</li><li>
Wise Tech Stack (2025 update)</li><li>
See what it's like to work at Wise London!</li><li>
Our Engineering career map</li><li>
Wise Engineering &ndash; https://medium.com/wise-engineering</li></ul>
What do we offer:<ul><li>
Starting salary: &pound;145,000 - &pound;182,000 + RSUs</li><li>
Wise Benefits</li></ul>
#LI-AB3 #LI-Hybrid 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; 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 </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Staff Applied ML Engineer - Financial Crime

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;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&rsquo;re looking for an experienced Backend Engineer for our Consumer Onboarding team. This is a unique opportunity to have a massive impact, helping a growing number of customers around the world choosing Wise to move their money without borders.
The Consumer Onboarding team is dedicated to guiding personal customers through setting up their Wise account and resolving their first international money needs in a way that&rsquo;s clear, easy, and delightful. You'll lead a team of talented engineers, collaborating daily with product managers, data analysts, and designers to continuously improve our onboarding flows and user journeys - making them faster, more intuitive, and more scalable. 
Your mission:
As the one of most Senior Engineers in the Consumer Onboarding team, you will:<ul><li>
Work closely with the Product Manager and Engineering Lead of your team to shape the roadmap, set the technical and product vision and ensure the team delivers on product goals in a robust and scalable way.</li><li>
Enable your team to succeed by ensuring they are well-resourced, can plan effectively, and are set up to commit to and deliver on their roadmap.</li><li>
Drive and deliver high impact projects end to end - from understanding customer problem, design solution alongside your team, driving technical discovery, scoping and execution to delivery</li><li>
Own the health of systems and services in your team, ensuring our system remain maintainable, scalable and performing to support our growth and scale</li><li>
Collaborate with other senior engineers and engineering lead across Onboarding squad and Wise to ensure your team&rsquo;s work is aligned with the wider technical strategy.</li><li>
Coach and mentor engineers in your team supporting their technical growth and being a force multiplier</li></ul> 
Qualifications 
A bit about you:<ul><li>
You have experience working with and building distributed, high scalability systems and microservices architectures</li><li>
You have a strong product and customer mindset and experience building customer facing products.</li><li>
You possess strong technical expertise or background in OOP Languages (Java or similar) and modern technology stacks</li><li>
You enjoy mentoring and teaching others what you know though your own work - being a force multiplier</li><li>
You're a great communicator who can articulate complex technical concepts clearly to both technical and non-technical audiences.</li><li>
You thrive in a collaborative environment and have experience working effectively with cross-functional peers like designers, product managers, and analysts.</li><li>
Bonus: You have experience working with other functions like Frontend and/or Mobile engineers and design functions</li></ul> 
Additional Information 
Interested? Find out more:<ul><li>
How we work - a practical guide</li><li>
DEI @ Wise</li><li>
Wise Tech Stack (2025 update)</li><li>
See what it&rsquo;s like to work at Wise London</li><li>
Our engineering career map</li></ul>
Wise Engineering &ndash; https://medium.com/wise-engineering
What do we offer:<ul><li>
Starting salary: &pound;111,000 - &pound;145,000 + RSUs</li><li>
Wise Benefits</li></ul>
For everyone, everywhere. We're people building money without borders &mdash; 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 </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Staff Backend Engineer - Consumer Onboarding

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;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 
About the role:
Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base.
How we work:
The Account Integrity Team
The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. 
 
What will you be working on? 
 
This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on:<ul><li>
Building and refining critical controls to protect Wise customers accounts from account takeovers.</li><li>
Drive Backend and Frontend for our crime prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend</li><li>
You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product.</li></ul>
What do you need?<ul><li>
Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript.</li><li>
System Design &amp; Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems.</li><li>
Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.</li><li>
Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas.</li><li>
Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices.</li><li>
Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations).</li></ul> 
Nice to Have:<ul><li>
Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).</li></ul>
Interested? Find out more:<ul><li>
How we work &ndash; a practical guide</li><li>
DEI @ Wise</li><li>
Wise Tech Stack (2025 update)</li><li>
See what it's like to work at Wise London!</li><li>
Our Engineering career map</li><li>
Wise Engineering &ndash; https://medium.com/wise-engineering</li></ul>
What do we offer:<ul><li>
Starting salary: &pound;87,500 - 111,000 + RSUs</li><li>
Wise Benefits</li></ul>
#LI-AB3 #LI-Hybrid 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; 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 </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Senior Software Engineer I - Account Integrity Team - Fincrime

Salary: Compensation determined by interview performance
 Hyderabad
 
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
 
Wise is opening a new office in Hyderabad that will be in the heart of product development of the company. We're looking for a Senior/Staff Full Stack Engineer to join our very first product team in Hyderabad which will be part of Asia & Pacific regional expansion.
 
APAC customers are a strong contributor to the Wise's growth. India plays a crucial part of it. A big part of this growth comes from new customer acquisitions, so having a fast, convenient and delightful customer onboarding journey and money movement are central to this growth. That’s the mission of the India Product team, and we’re looking for people who can make this happen. If this sounds like an exciting challenge, we’d love to hear from you!
 
We are hiring across multiple roles between IC3 - IC5 levels and would use our screening call and interview process to calibrate where you match up. You may refer to our career map here for more information about Wise Engineering Levels.
 
Here’s how you’ll be contributing to the team: 
Develop Wise’s products that will be used by Wise’s Customers to service the Indian market. Disrupt the cross-border industry in India that is hugely dominated by Banks.
 
Design onboarding and money movement solutions tailored to India markets by leveraging local KYC stack and payment ecosystem in India.
 
Develop robust systems to seamlessly onboard customers without delays, while being compliant to local regulations.
 
Develop scalable money movement systems that bring speed and convenience of domestic payment processing to cross border payments....
 
Build and maintain automations and tooling to process customer payments and data in a scalable and cost-efficient way.
 
Utilise the observability stack and analytics to identify gaps, and unlock new opportunities for growth and operational excellence.
 
Collaborate with various stakeholders throughout Wise, plan roadmaps with your team, and work through challenges to determine scope and realistic delivery
 
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.
 
More about the team
 
Find out more about our team, how we work and other open roles.
 
Find out more about what we offer our employees
 
From me days to mission days, sabbaticals to stock, and everything in between. For everyone, everywhere. We’re people building money without borders. Find out what you'll get if you join us.
 
Join us
 For everyone, everywhere. We’re people building money without borders.

Senior Software Engineer

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;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 are looking for a passionate Software Engineer to join the Personal &amp; Business Pricing Team.
This role offers an opportunity to have a direct and measurable impact on a domain that is central to Wise's growth. Personal &amp; Business Pricing sits at the intersection of nearly every product launch and promotion at Wise. We build the infrastructure and tooling for pricing across Wise products. You'll work in a highly collaborative environment and gain exposure to a wide range of domains while helping to shape the team's technical direction. You'll partner closely with global and regional product teams to enable new product features and experiments while ensuring our pricing infrastructure remains scalable, reliable and accurate.
What will you be working on?<ul><li>
Design and build features end-to-end across our pricing services.</li><li>
Contribute to architectural decisions and code reviews, raising the bar on quality, reliability and observability.</li><li>
Drive initiatives to improve the reliability and scalability of our services, improving the reliability and flexibility of our pricing products.</li></ul> 
Qualifications 
What we're looking for? 

 
Technical Excellence<ul><li>
Strong background in software engineering, with a track record of contributing significantly to large, impactful projects in a complex production domain.</li><li>
Expert in your technical discipline, with the ability to design for long-term iteration and scale.</li><li>
You own the availability, reliability and security of the systems you build following engineering best practises.</li><li>
You make sensible trade-offs between speed, scalability and risk, and optimise for a predictable, regular cadence of delivery.</li></ul>
Ownership &amp; Product Mindset<ul><li>
You own the technical roadmap and deliverables of your projects end-to-end, embracing long-term ownership .</li><li>
You can always explain why something is being built, what customer problem it's solving, and what impact is expected.</li><li>
You take a leading role in incident resolution and post-incident review for both minor and major incidents.</li><li>
Experience engaging with product, compliance and stakeholder teams to shape requirements and priorities.</li></ul>
Collaboration, Communication &amp; Growth<ul><li>
Clear communication with both technical and non-technical audiences.</li><li>
You give and receive feedback well, and contribute to a supportive environment that helps the team grow.</li><li>
You mentor and coach other engineers, and own the onboarding of new joiners into the team.</li><li>
You promote a culture of collaboration that minimises duplicate or wasted work, and pull other teams in the right direction.</li></ul>
Nice to haves:<ul><li>
Experience in payments, fintech, or another related domain.</li><li>
Prior experience working on a team with a global, distributed setup.</li><li>
Experience with systems that involve compliance, audit, or regulatory requirements (SOX, fee disclosure, tax).</li><li>
Familiarity with configuration-heavy domains where business logic is encoded in data as well as code.</li></ul> 
Additional Information 
Interested? Find out more:<ul><li>
How we work - a practical guide</li><li>
DEI @ Wise</li><li>
Wise Tech Stack (2025 update)</li><li>
See what it&rsquo;s like to work at Wise London</li><li>
Our engineering career map</li></ul>
Wise Engineering &ndash; https://medium.com/wise-engineering
What do we offer:<ul><li>
Starting salary: &pound;87,000 - &pound;111,000 + RSUs</li><li>
Wise Benefits</li></ul>
For everyone, everywhere. We're people building money without borders &mdash; 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 </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Senior Software Engineer I - Personal & Business Pricing Team

Join Wise Australia Investments and explore 15   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.