Opportunity at
WiseStaff Analyst - Servicing
Wise is seeking a Staff Analyst for their Servicing team based in London. In this position, the professional will guide analytics initiatives within the Servicing Platform…
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About This Role
Wise is seeking a Staff Analyst for their Servicing team based in London. In this position, the professional will guide analytics initiatives within the Servicing Platform product division, balancing fraud prevention measures with a seamless customer experience. This opportunity is suited for a Product Analyst who enjoys tackling complex technical problems or an Analytics Engineer looking to get closer to product outcomes and business challenges. The candidate will join a…
Job Description
Wise is seeking a Staff Analyst for their Servicing team based in London. In this position, the professional will guide analytics initiatives within the Servicing Platform product division, balancing fraud prevention measures with a seamless customer experience. This opportunity is suited for a Product Analyst who enjoys tackling complex technical problems or an Analytics Engineer looking to get closer to product outcomes and business challenges. The candidate will join a community of over 150 analysts to collaborate on cross-functional projects, share knowledge, and contribute to analytics improvements across the company. The employer builds international money movement solutions with a focus on eliminating borders, judgment, and prejudice. This is designated as an IC4 level role, though top-performing IC3 level professionals ready to step up are also encouraged to apply.
Responsibilities
- Collaborate with Product and Engineering partners along with other analysts to translate data insights into actionable changes for customers
- Expose large volumes of data to product teams in a meaningful way and assist others in discovering insights
- Own, contribute to, and build roadmaps for multi-quarter or annual strategic projects while coordinating across engineers and analysts
- Construct pipelines, reports, and visualisations to support senior and lead analysts
- Partner with data scientists and engineers to build features for financial crime prevention machine learning models
- Integrate external vendors and improve the speed of risk assessment models
- Establish the framework for balancing risk management with customer experience
- Drive discovery phases by scoping new opportunities and proposing initiatives to reduce scams using data insights
Requirements
- Seven or more years of experience working in data analytics
- Extensive experience utilizing SQL, Python, and ideally dbt
- Strong quantitative skills with a solid background in mathematics, statistics, physics, engineering, computing, or a related scientific discipline
- Strong communication capabilities to convert technical and business problems into analytical solutions
- Ability to structure business problems independently and prioritize effectively alongside product managers and engineers
- Experience working with data visualization tools such as Looker, PowerBI, or Tableau along with strong data storytelling skills
- Proactive approach to take work beyond analysis and drive results
Qualifications
- Prior experience in analytics or data engineering
- Experience working with unstructured datasets
- Experience with user-facing products and data
- Background in the financial crime domain focusing on balancing risk and customer experience
Core Skills
Benefits
- Base salary ranging from GBP 105,000 to GBP 150,000 per year
- Restricted Stock Units in a public and growing company
- Option to work from almost anywhere globally for up to 90 days per year
- Flexible working arrangements
- Private medical insurance and life insurance
- Discounted gym memberships and a cycle-to-work scheme
- Paid six-week sabbatical leave after completing four years of service
- 26 weeks of fully paid maternity leave
- Annual budget allocated for self-development
- Access to the annual Mission Days festival and pet-friendly offices
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Staff Analyst - Servicing role?
The base salary for this position ranges from GBP 105,000 to GBP 150,000 per year, supplemented by RSUs in a public company.
What level of experience is required for this position?
Applicants must have at least 7 years of experience in data analytics, strong quantitative skills, and extensive experience with SQL, Python, and ideally dbt.
Is this a remote position?
The posting specifies a location in London, but does not explicitly designate the role as remote, hybrid, or on-site, though it does offer flexible working and the ability to work from almost anywhere globally for up to 90 days a year.
Sample Interview Questions
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