Wise on cord

Wise

Lead Product Analyst

External position
London, UK
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FinTech · Payments
Formerly TransferWise. Still building the world's most international account.
Active
over 6 months ago
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 hours ago

Skills & Experience

Job roles: Business Analyst
Experience level: Lead
Core skills considered: Business Analysis, Data Analysis, SQL, Python, Data Visualisation
Other skills considered: Looker, Power BI, Tableau, Data Pipelines

Logistics

Base salary: £75K - £115K
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We're looking for a Lead Product Analyst to join the Financial Crime Platform team and partner with our Financial Crime and KYC Product teams to ensure we are making data-driven and innovative growth decisions while helping to combat financial crime.

Financial Crime (Servicing) Platform is our internal risk infrastructure tool that unifies customer onboarding, identities and transaction monitoring controls, ensuring Wise is protected against financial crime and meets regulatory requirements and standards.

You will lead our analytics efforts in the Financial Crime Platform product team that balances the work between preventing financial crime and enabling a smooth customer experience. We work closely with our FinCrime teams in Fraud, AML, Sanctions, Verification, but we are a Platform team. Our work is to enable them, securely and fast.

This is a great opportunity for a Product Analyst that thrives solving technical challenges, or an Analytics Engineer that wants to be closer to business problems and product outcomes. You'll also be part of a wider team of 300+ Analysts that you'll get to collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise.

This is an IC3 role.


What you'll be doing

  • Collaborating with Product, Engineering and other Analysts to bring your insights into real change for our customers and help us work towards our mission
  • You'll expose the vast amounts of data available to our product teams in a meaningful and actionable way and support other teams in discovering insights in our data solutions
  • Proactively contribute to, own, create, track key metrics and results for your product team, keeping them accountable and enthusiastic throughout the quarter
  • Support senior and lead analysts by building pipelines, preparing reports, and visualisations
  • Partner with data scientists and engineers to create new features for FinCrime prevention Machine Learning models and integrate with external vendors, and make our risk assessment models faster.
  • Building the framework for managing risk and customer experience
  • Drive the discovery phase by scoping new opportunities and suggesting initiatives to reduce financial crime on Wise through meaningful insights

Requirements

  • 5+ years of experience in data analytics
  • 2+ years of experience in advanced analytics and statistical techniques
  • You have extensive experience with SQL, dbt (ideally) and Python/R. The biggest challenges you will face is how to scale and productionise efficiently your code, models and ETLs. When we say vast amounts of data we are not joking, our services generate more than 100 millions rows a day
  • You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, computing, or other scientific area
  • Strong communication skills and an ability to translate business and engineering problems into analytical solutions while being sensitive to the customer's needs
  • You have an ability to structure business problems with minimal supervision and an ability to prioritise problems collaboratively with PMs and Engineers, as well as condense complex systems/ideas into simple-to-understand models
  • Be proactive. You can take work beyond the analysis and get things done. Your curiosity will drive you to discover novel insights from our unstructured datasets
  • Hustler-mentality. You can take work beyond the analysis and get things done
  • You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data

Nice to have but not essential

  • Data Engineering/Data Science experience
  • Experience with unstructured and big datasets
  • Experience with user-facing products and data
  • Experience in fincrime domain balancing risk and supporting customer experience

Company Benefits

  • Stock Options
  • Private Pension
  • Hybrid WFH Model
  • Paid Sabbatical after 4 years
  • 90 day global remote working
  • Annual Development Budget
Lead Product Analyst at Wise
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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