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Senior Product Analyst - WISE Platform - Send for Partners

Reads like a Data Scientist role: models and experiments.

Pay
£60,000–85,000/year · BaseAnnual period assumed — pay source
BENEFITS: 💰 Base salary of £60k - £85k (based on experience) 🚀 RSU's in a growing and publicly listed company
Read the full posting
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll bring

All qualifications

Core experience

  • You have experience working in payments and/or banking.
  • Proficient in python’s various data transformation, visualisation and statistics libraries i.e.
  • You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash.
  • 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.
Qualification wording
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.

Benefits in the posting

Full benefits wording
  • 🏠 Flexible working - you’re trusted to do the right thing and be responsible
  • 🏥 Private Medical Insurance + Life Insurance
  • 🏝️ A paid 6-week sabbatical leave after four years
  • 👶 26 weeks maternity leave at full pay
  • Company Description

From the employer’s posting.

About Wise

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

Apply at Wise

Posting record

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Status in our records
Live
First seen by us
Nov 12, 2026today
Recorded sightings
1
Reposted
once since Nov 6, 2026

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.

How this job compares

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.

Wise is hiring

62 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down quickly
  • 44% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • dbt
  • Snowflake
  • Airflow
  • NumPy
  • pandas
  • Plotly
  • SciPy
Where the posting names them
- 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

Your next step

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Has Wise posted this job before?

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.

  1. LondonCame down after 5 days, first seen Nov 6
  2. This jobUp 0 days so far, first seen Nov 12

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

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.

Qualifications


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

Additional Information

 

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.

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.

Source details

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Pay
BENEFITS: 💰 Base salary of £60k - £85k (based on experience) 🚀 RSU's in a growing and publicly listed company
Location & working pattern

London, United Kingdom

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

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