Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 8 and day 59.
At Wise, jobs usually come down by about day 11.
From 11,556 similar postings that came down, and 357 of Wise’s. Coming down is not always a hire.
Reads like a Data Scientist role: models and experiments.
London, United Kingdom
Live, first seen by us 11 hours agoBENEFITS: 💰 Base salary of £60k - £85k (based on experience) 🚀 RSU's in a growing and publicly listed companyRead the full posting
Work setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
You have experience working in payments and/or banking. A plus if you’re familiar with FX products, and correspondent banking
Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly
You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights.
Experience leading a team or owning a whole product domain
You have experience working in a high-growth B2B tech environment and have worked closely with product teams before.
From the employer’s posting.
Wise Platform takes all of the world-class payments products Wise has built over the last 15 years and enables hundreds of millions of consumers and businesses to access them in the places where they already move and manage their money - with banks and large tech platforms.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 8 and day 59.
At Wise, jobs usually come down by about day 11.
From 11,556 similar postings that came down, and 357 of Wise’s. Coming down is not always a hire.
62 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- You have experience working in payments and/or banking. A plus if you’re familiar with FX products, and correspondent banking - You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights. - You are commercially minded. Able to translate your analysis into impact and comfortable with opportunity sizing, prioritisation and scenario modelling.
NICE TO HAVE BUT NOT ESSENTIAL - Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly - Experience leading a team or owning a whole product domain
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Product Analyst - WISE Platform - Send for Partners job there since November 2026. It came down after 5 days.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
ABOUT WISE PLATFORM
Wise Platform takes all of the world-class payments products Wise has built over the last 15 years and enables hundreds of millions of consumers and businesses to access them in the places where they already move and manage their money - with banks and large tech platforms.
Today, we’re already powering payments for some of the world’s top neobanks like Monzo, N26, and Nubank, alongside a growing list of leading global banks such as UniCredit, Morgan Stanley and Standard Chartered, to name a few. In the tech platforms space, we’re powering payments for partners across a whole range of industry verticals and use cases. Whether that’s leading marketplaces like Google, Agoda, or Upwork, workforce management tools like Deel, or investment platforms like Interactive Brokers - we’re bringing the power, simplicity, and transparency of Wise to even more people and places.
And, we’re just getting started! Wise Platform is one of the newest and fastest growing products at Wise. We’re a global and highly cross-functional team, spearheading Wise next phase of growth!
THE ROLE
As the Senior Product Analyst in Send for Partners, you’ll sit at the centre of one of Wise Platform’s biggest products: helping the world’s largest banks and platforms send money across borders. You’ll work with the Send for Partner’s team to uncover opportunities that shape the product roadmap, measure success of initiatives and performance against KPIs, and work cross functionality to support product features from ideation to scale. This is a highly autonomous role in a fast-scaling “start-up within a scale-up” environment. You’ll turn ambiguous partner problems into crisp insights, compelling narratives and clear product bets, working closely with Product, Engineering, Commercial and Finance to ship improvements that unlock volume, reduce friction, and increase margin.
WHAT YOU’LL BE DOING
You will deliver high-impact, scalable data solutions such as building and maintaining robust models and data products that directly support the team's efficiency, effectiveness and risk appetite.
You will proactively manage team KPIs, ensuring clear measurement and understanding of product performance, undertaking deep-dives and providing actionable recommendations to drive product objectives and roadmap.
You will be leveraging advanced analytics, crafting dashboards and visualisations that bring product performance data to life, tell a clear story, and offer diagnostic power.
You will conduct opportunity sizing for product initiatives to understand short-term and long-term impacts against key performance indicators and our long term vision.
You will support product discovery through initiatives such as market sizing, research, and scenario modelling to inform the product roadmap.
WHAT YOU'LL BRING
You have experience working in payments and/or banking. A plus if you’re familiar with FX products, and correspondent banking
You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights.
You are commercially minded. Able to translate your analysis into impact and comfortable with opportunity sizing, prioritisation and scenario modelling.
You have experience working in a high-growth B2B tech environment and have worked closely with product teams before.
You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across Wise and negotiating timelines to unblock yourself and make things happen!
You are an excellent communicator, able to form your own opinions and effectively articulate them to influence key stakeholders. You should also be comfortable writing and maintaining clear and concise documentation and analysis.
NICE TO HAVE BUT NOT ESSENTIAL
Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly
Experience leading a team or owning a whole product domain
BENEFITS:
💰 Base salary of £60k - £85k (based on experience)
🚀 RSU's in a growing and publicly listed company
🌎 Work from (almost) anywhere in the world for up to 90 days a year
🏠 Flexible working - you’re trusted to do the right thing and be responsible
🏥 Private Medical Insurance + Life Insurance
🏋️ Discounted gym memberships and cycle to work scheme
🏝️ A paid 6-week sabbatical leave after four years
👶 26 weeks maternity leave at full pay
💪 An annual self-development budget
🚀 Annual Mission Days festival
🐶 Pet friendly offices
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
BENEFITS: 💰 Base salary of £60k - £85k (based on experience) 🚀 RSU's in a growing and publicly listed company
London, United Kingdom
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.