Senior Analytics Engineering Manager at Wise

London, England, United Kingdom

Wise Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, Financial ServicesIndustries

Requirements

  • Led teams of 4+ with a strong history of success stories coaching & developing direct reports
  • Track record of creating & implementing long-term, strategic projects (1+ year time horizon, cross-functional)
  • Ability to build strong empathy for stakeholders and internal customers, proactively identifying and solving their problems
  • Excellent storytelling ability with data, translating complex insights into defensible, digestible & actionable narratives
  • Advanced proficiency in SQL and Python
  • Proven experience in building robust analytics pipelines and designing effective data models
  • Hands-on experience using an orchestration tool like Airflow
  • Able to own the roadmap for implementation of best practices regarding Business Intelligence Tools like Looker or Superset and transformation tools like dbt
  • Ideally implemented multiple tools and workflows at previous organisations, ready to meet challenges regarding security implementation, technical implementation & adoption

Responsibilities

  • Scale an existing team of 4 to 8+ within the next 12 months - keeping the bar high while scaling and ensuring everyone on the team is consistently growing
  • Work closely with Engineering, Product & Analytics leads of the Servicing tribe (FinCrime, Customer Support, Risk) to drive the strategy for utilising Data & Analytics for best customer outcomes
  • Play a key role in ensuring trustable, discoverable, context-enriched core datasets exist, working closely with users and Engineers emitting source data
  • Act as the go-to expert for new tooling like AI applications, leading its adoption and successful rollout across the organization, owning metrics like lead time for getting new data assets live
  • Strategically assess and implement data modelling best practices within the squad, elevating data capabilities and cost sustainability

Skills

Analytics Engineering
Data Engineering
People Leadership
Team Scaling
Data Strategy
Business Intelligence
Core Datasets
FinCrime
Customer Support
Risk Analytics

Wise

Facilitates low-cost international money transfers

About Wise

Wise focuses on international money transfers, providing a low-cost alternative to traditional banks. It uses a peer-to-peer system to match transfers between users in different countries, which helps reduce fees and offers better exchange rates. Customers pay a small, transparent fee for each transaction, and Wise also offers a multi-currency account for managing funds in various currencies. The company aims to maintain high performance and reliability while ensuring transparency and trust with its users.

London, United KingdomHeadquarters
2011Year Founded
$385.5MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
5,001-10,000Employees

Benefits

PTO & annual leave
Work from home flexibility
Parental leave
Medical insurance plans
Health & wellbeing discounts
Pension & retirement plans
Social events
Relocation support

Risks

Increased competition from banks integrating Swift services could challenge Wise's market share.
Regulatory scrutiny following Stenn's collapse may increase pressure on Wise.
Bitcoin's low transaction fees could attract customers away from Wise's services.

Differentiation

Wise offers a peer-to-peer system for low-cost international money transfers.
The company provides a multi-currency account for ex-pats, freelancers, and travelers.
Wise's transparent fee structure attracts customers seeking cost-effective money transfer solutions.

Upsides

Partnership with Morgan Stanley enhances Wise's cross-border settlement capabilities.
Expansion into India's remittance market presents significant growth opportunities for Wise.
API integrations offer additional revenue streams and market penetration for Wise.

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