Senior Product Analyst - Enterprise Product Operations - Fincrime at Wise

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

75000.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Operational Efficiency, Data Analysis, SQL, Forecasting, Scenario Modelling, Dashboard Creation, Data Visualization, Looker, Superset, Data Pipeline Management, Snowflake, dbt, Git, Airflow, Python, Communication

Industry

Financial Services

Description

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 THE ROLE We're looking for a dynamic Senior Product Analyst that can support our leads across CSM, KYC, Fincrime and Payment Operations to drive operational efficiency and scalability of Wise Platform. This is a newly created role that will allow you to have a big impact from day one! You will be working closely with Servicing & Operations leads to help shape the priorities of their teams, building conviction through your insights and analysis. ABOUT WISE PLATFORM Wise Platform helps banks and software companies leverage Wiseʼs infrastructure to offer their customers world-class payments products through their own channels. Our partners make up some of the worldʼs biggest banks and platforms, such as Monzo, Morgan Stanley, Nubank and Google. It's one of the newest and growing areas of Wise! We’re a highly cross-functional team. You will work closely with colleagues from commercial, delivery, product, engineering, operations, finance and more. WHAT YOU’LL BE DOING You will support our operational forecasting and capacity planning. By developing an intricate understanding of partners and the factors which drive operational workload, your work will ensure we’re adequately resourced and provide a best-in-class experience. You will collaborate with operational teams to understand their processes, build operational health scores and define metrics and KPIs to measure success and drive decision-making. Your analysis will reduce friction throughout our customers’ lifecycle. You will work with product and ops teams to ensure we can onboard customers seamlessly and reduce touch points throughout the transfer lifecycle. WHAT YOU’LL BRING You have a strong track record of partnering with operational teams and delivering actionable insights and recommendations that drive operational efficiency. You are an excellent communicator, able to form your own opinions and effectively articulate them to win colleagues round to your way of thinking. 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 commercially minded. You are comfortable with opportunity sizing, have solid experience forecasting and scenario modelling. You’re an expert at crafting dashboards and visualisations that bring data to life, tell a story and have diagnostic power - even better if you’ve got experience doing this in Looker/Superset. You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow and Python (all analysts at Wise are expected to be full-stack and should be comfortable owning analytics from ingestion to insights). NICE TO HAVE BUT NOT ESSENTIAL Experience working with payments or transaction data. Experience working with sales data in Salesforce or similar, and/or contacts data in tools like Zendesk or Twilio. Experience using other coding languages such as javascript (think Google Apps Script automations) - but by no means needed. PROCESS 1) Screening call with recruiter - 30 mins 2) Take home Case Study - 7 days to submit 3) Technical Interview - 1.5 hours 4) Stakeholder Interview - 1 hour 5) Final Interview - 1 hour Preparation material and further context will be provided at each stage. BENEFITS: 💰 Base salary of £60k - £75k (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 Find out more about our benefits in our London office. We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. If you want to find out more about what it's like to work at Wise visit Wise.Jobs 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.

Responsibilities

Support operational forecasting and capacity planning while collaborating with operational teams to understand their processes. Build operational health scores and define metrics to measure success and drive decision-making.