Senior Software Engineer II - FX Markets

Posted Yesterday
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
111K-145K Annually
Senior level
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
Own the architecture and technical direction of Wise’s FX engineering stack across market data and risk teams. Build semi-automated hedge execution, real-time Flink streaming pipelines, Kafka infrastructure, quant model production systems, and high-throughput rate services. Lead reliability, incident response, technical roadmaps, system design, and engineering mentorship while collaborating with traders, quants, and treasury stakeholders.
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

We are looking for a Senior Software Engineer II with deep systems thinking, data engineering expertise, and a product-oriented mindset to join our Treasury FX function — spanning both the Market Data and Risk Engineering teams.

Our team builds the real-time infrastructure that powers Wise's FX pricing, risk management, and trade execution. We aggregate market data from Bloomberg and Reuters, compute live exposure and VaR, execute hedges worth tens to hundreds of millions of pounds daily, and protect the business from adverse currency movements. Our systems are tier- 1 and serve 50+ internal consumers with sub-second freshness across 50+ currency pairs.

You will be the technical anchor across both engineering teams, owning the architectural direction of 14+ production services, from rate ingestion and distribution, through real-time risk calculation, to automated hedge execution. The primary mission: build Wise's first semi-automated trade and hedge execution platform in close coordination with FX dealers, quantitative researchers, and treasury controllers.

We operate on a strong belief in automation, programmatic implementation, and reusable design. We're looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the Finance & Treasury tribe.

Our stack is polyglot and modern: Java 21 + Spring Boot 4.x, Python 3.12,  Apache Flink  (streaming), Kafka, gRPC + Protobuf, and Bloomberg/Reuters real-time feeds. This isn't typical CRUD — it's real-time financial infrastructure where a 1bps improvement in hedging efficiency saves millions.

We need a seasoned engineer who can architect streaming data pipelines, collaborate with quants on model productionisation, drive reliability across mission-critical systems, and translate complex business requirements from traders and risk managers into elegant technical solutions.

What will you be working on?

You will own the technical direction and architectural evolution of Wise's FX engineering stack, with immediate focus on:

  • Architecting a semi-automated hedge execution platform,  from exposure decomposition through model-driven hedge proposals to programmatic trade execution on external partners

  • Building real-time streaming pipelines with Apache Flink for portfolio-split exposure computation, tenor interpolation, and hedge lifecycle event processing

  • Evolving our rate infrastructure for 10x throughput with FX Forwards, new corridors, NDFs and work on cross-provider deviation alerting

  • Building production infrastructure for quant models for VaR, beta-adjusted exposure management, dynamic pricing and FRP cancellations.

  • Owning Kafka topology design and schema evolution across the full pipeline: rate ingestion → risk calculation → trade execution → analytics

  • Driving technical roadmap across both teams, mentoring IC2/IC3 engineers, and leading incident response for Tier-1 critical services

 

Qualifications

 

We acknowledge that engineers continuously evolve their skillsets, and we are committed to supporting your growth. However, we are looking for candidates who can bring these core skills to the table:

  • 8+ years of professional software engineering experience, ideally in financial systems, trading, or real-time data infrastructure

  • Deep expertise in Java (17+) with Spring Boot in high-throughput production environments

  • Extensive experience with Apache Kafka, topic design, schema evolution, consumer group management at scale

  • Strong data engineering skills, building real-time streaming pipelines with Apache Flink, Kafka Streams, or equivalent

  • Proven track record designing and operating distributed systems processing millions of events per day

  • Demonstrated ability to own system reliability end-to-end: SLOs, alerting, incident response, disaster recovery

  • Experience leading technical design of complex multi-service architectures and influencing without direct authority

  • Exceptional product mindset — able to translate business requirements from traders, operations, and quants into technical strategy

  • Track record of mentoring senior and junior engineers and raising team-wide engineering standards

The successful candidate will onboard as the technical anchor for both FX engineering teams, bringing architectural leadership and deep systems expertise while contributing to the transformative impact our platform has on Wise's FX operations.

 

 

Additional Information

Interested? Find out more:

  • Wise’s Mission

  • Wise: Moving money around the world 

  • Our quarterly Mission updates

  • How We Work and our Values

  • Building diverse product teams at Wise 

  • Our Engineering career map

...or check out our Engineering blog.

What do we offer: 

  • Starting salary: £111,000-£145,000 + RSU

  • Wise Benefits

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

  • 8+ years of professional software engineering experience, ideally in financial systems, trading, or real-time data infrastructure
  • Deep expertise in Java 17+ with Spring Boot in high-throughput production environments
  • Extensive experience with Apache Kafka, including topic design, schema evolution, and consumer group management at scale
  • Strong data engineering skills building real-time streaming pipelines with Apache Flink, Kafka Streams, or equivalent
  • Experience designing and operating distributed systems processing millions of events per day
  • Experience owning system reliability end-to-end, including SLOs, alerting, incident response, and disaster recovery
  • Experience leading technical design of complex multi-service architectures and influencing without direct authority
  • Ability to translate business requirements from traders, operations, and quants into technical strategy
  • Experience mentoring senior and junior engineers and raising team-wide engineering standards

What the Team is Saying

Wise Compensation & Benefits Highlights

  • Leave & Time Off Breadth — U.S. materials describe extensive paid leave (PTO, sick time, holidays, “Me Days,” volunteer and compassionate leave) plus a paid six‑week sabbatical after four years. Feedback suggests the time‑off package is a standout element of the offering.
  • Parental & Family Support — Benefits information highlights up to 18 weeks of fully paid parental leave in many locations, with clear tenure qualifiers in some markets. Feedback suggests these policies are robust and a notable strength.
  • Equity Value & Accessibility — Company and job-posting materials indicate RSUs are a regular part of compensation, with a shift toward RSUs since 2022. Feedback suggests the equity component is a relatively substantial part of total rewards.

Wise Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

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
Company Office Image
Brussels
Company Office Image
Austin
Company Office Image
Budapest
Company Office Image
Hydrabad
Company Office Image
Kuala Lumpur
Company Office Image
London
Company Office Image
New York
Company Office Image
São Paulo
Company Office Image
Singapore
Company Office Image
Tallinn
Company Office Image
Tokyo
Learn more

Similar Jobs

Wise Logo Wise

Product Analyst

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
9000 Employees

Wise Logo Wise

Analytics Manager

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
9000 Employees

Wise Logo Wise

Senior Data Engineer

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
9000 Employees
111K-145K Annually

Wise Logo Wise

Lead Data Scientist

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
9000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account