Wise

4 days ago

Senior Analytics Manager - Credit

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Shape Wise’s first credit products by leading analytics for credit risk and decisioning. Partner with data science to stress-test modelling assumptions for SME customers, build forward-looking views of expected loss and delinquency transitions, and create feedback loops with product and risk. Own the credit analytics data strategy—datasets, dashboards, tools, and data quality—while coaching and growing a team of analysts as the product scales.

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Partner with Data Science to challenge and stress-test credit risk modelling assumptions for SME customers using scenario and sensitivity testing.
•Leverage market insights and publicly available SME finance data to validate modelling and decisions.
•Develop forward-looking metrics (expected loss, repayment failures, delinquency transitions, write-offs) and create feedback loops with product and risk decisions.
•Own the credit analytics data strategy, defining roadmaps for datasets, dashboards, and tools with consistent definitions and data quality.
•Lead and develop the analytics team through coaching, prioritisation, raising analytical quality, and hiring as it grows.

Pay and Benefits

Salary: GBP 105,000 - 150,000 annually

Equity and Bonus:Equity

Perks:Hybrid WorkingPaid LeaveSick DaysParental LeaveSabbatical

Key Requirements

•6+ years of data analytics experience with significant experience in economics/finance/risk/fraud/portfolio management/investing modelling or credit.
•Strong understanding of the credit ecosystem, including risk assessment and the economics of different credit products.
•Strong technical skills, including SQL experience with large datasets and building data pipelines.
•A structured, pragmatic approach to early-stage work (0→1), including setting up measurement and defining what “good” looks like.
•Excellent communication and stakeholder management across disciplines, with a track record of influencing and maintaining focus.

Experience:6+ years

Skills:CommunicationStakeholder managementCoachingPrioritisationInfluencing

Languages:English

Tech Stack:SQL

Company Brief

Wise

Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2011

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Wise

4 days ago

Senior Analytics Manager - Credit

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Partner with Data Science to challenge and stress-test credit risk modelling assumptions for SME customers using scenario and sensitivity testing.
•Leverage market insights and publicly available SME finance data to validate modelling and decisions.
•Develop forward-looking metrics (expected loss, repayment failures, delinquency transitions, write-offs) and create feedback loops with product and risk decisions.
•Own the credit analytics data strategy, defining roadmaps for datasets, dashboards, and tools with consistent definitions and data quality.
•Lead and develop the analytics team through coaching, prioritisation, raising analytical quality, and hiring as it grows.

Pay and Benefits

Salary: GBP 105,000 - 150,000 annually

Equity and Bonus:Equity

Perks:Hybrid WorkingPaid LeaveSick DaysParental LeaveSabbatical

Key Requirements

•6+ years of data analytics experience with significant experience in economics/finance/risk/fraud/portfolio management/investing modelling or credit.
•Strong understanding of the credit ecosystem, including risk assessment and the economics of different credit products.
•Strong technical skills, including SQL experience with large datasets and building data pipelines.
•A structured, pragmatic approach to early-stage work (0→1), including setting up measurement and defining what “good” looks like.
•Excellent communication and stakeholder management across disciplines, with a track record of influencing and maintaining focus.

Experience:6+ years

Skills:CommunicationStakeholder managementCoachingPrioritisationInfluencing

Languages:English

Tech Stack:SQL

Company Brief

Wise

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2011

Glassdoor: 3.8

Website LinkedIn Glassdoor