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Lead Product Analyst - Scalable Platform

Wise

Lead Product Analyst - Scalable Platform

Wise

Singapore

·

On-site

·

Full-time

·

1w ago

THE ROLE You’ll be joining the Grow Squad. We manage a complex, multi-product portfolio including Current Accounts, Savings, Investments, and Digital Assets. Focus Area: While other teams focus on acquiring customers, your mission is to ensure we serve them safely, sustainably, and profitably. What You Will Do 1. Work with the Scalable Platform product team - Scalable platform team is responsible for identifying risks to the Grow squad in the domains of Financial, Regulatory and Operational risks - Building controls and assurance monitoring to ensure risks are sustainably managed 2. Strategy & Governance - Stakeholder Partnership: You will be the primary data partner for Wise’s Scalable Platform product team giving them the confidence that the Grow squad is operating within safe limits. ## Qualifications A Bit About You You are a strategic data leader who bridges the gap between technical analytics and business risk. You don’t just report on what happened; you influence what happens next. - Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems. - Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech product (LTV, CAC, Margin). You know how to balance aggressive growth targets with necessary risk controls, ensuring we scale safely. - Thriving in Ambiguity: You are comfortable navigating ambiguity to find the right path forward and gaining clarity. - Strategic Impact: You can point to specific decisions where your influence changed a product roadmap, pricing model, or operational process. - Communication: You are a storyteller with data. You move beyond dumping numbers to provide context, explain the "why," and drive leadership to the "so what". ## 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. 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.

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About Wise

Wise

Wise

Public

WISE inspires girls and women to study and build careers in science, technology, engineering and manufacturing.

1-50

Employees

Bradford

Headquarters

$8.0B

Valuation

Reviews

2.8

9 reviews

Work Life Balance

2.1

Compensation

3.2

Culture

2.3

Career

2.8

Management

1.9

25%

Recommend to a Friend

Pros

Great coworkers and positive relationships

Good benefits and time off

Training and promotion opportunities

Cons

Poor management and lack of support

Toxic workplace environment and micromanaging

Poor work-life balance and long hours

Salary Ranges

113 data points

Mid/L4

Senior/L5

Mid/L4 · Product Application Analyst

1 reports

$87,400

total / year

Base

$76,000

Stock

-

Bonus

-

$87,400

$87,400

Interview Experience

4 interviews

Difficulty

2.3

/ 5

Duration

14-28 weeks

Offer Rate

50%

Experience

Positive 25%

Neutral 25%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Interview Round

4

Technical/Role-specific Interview

5

Final Interview

6

Offer Decision

Common Questions

Technical Knowledge

Past Experience

Behavioral/STAR

Role-specific Skills

Problem Solving