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Teya

Fintech payments platform for small businesses

Business Analyst

Data ScienceConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • At least 1 year of experience in business or credit analytics, valuations, credit risk, customer analytics, or strategy in financial services, lending, or a similarly data-driven environment.
  • A bachelor's degree in a quantitative field such as Mathematics, Physics, Statistics, Economics, or a related discipline.
  • Proficiency in SQL for data extraction and manipulation, and Excel and/or Python for modeling.
  • Demonstrated analytical problem-solving ability, including breaking down complex and ambiguous business challenges into structured, solvable components and developing actionable solutions.
  • The ability to translate technical analyses into clear business insights and influence technical and non-technical stakeholders.
  • The ability to work independently in ambiguous situations, identify problems, propose solutions, and drive projects forward without extensive oversight.
  • Experience working in cross-functional teams, building relationships, managing stakeholders effectively, and contributing to continuous learning.

Responsibilities

  • Build and maintain Net Present Value, unit economics, and customer lifetime value models for credit, acquiring, and business account products, grounding assumptions in observed merchant behavior.
  • Conduct in-depth analyses of customer behavior and product performance to identify value-creation levers and model assumptions that do not withstand scrutiny.
  • Design, implement, and analyze experiments, including A/B tests, holdouts, and natural experiments, to validate hypotheses about pricing, credit risk, customer segmentation, and product strategy.
  • Develop and monitor key metrics and dashboards tracking real-time portfolio and product economics, identifying divergence between actual performance and forecasts and recommending actions.
  • Collaborate with Product, Finance, Marketing, and Engineering to translate analytical insights into implemented product, pricing, and commercial decisions.
  • Conduct investigative analysis to identify data gaps, model limitations, and opportunities to improve valuation methodology, proactively surfacing business insights.
  • Create clear presentations and documentation that translate complex analytical findings into actionable recommendations for operational teams and the executive committee.

Desired Qualifications

  • Familiarity with lending economics, including expected loss, risk-adjusted returns, and cohort repayment curves.
  • An advanced degree.

About the Company

Teya

Fintech payments platform for small businesses

Teya provides payment solutions for small businesses, including card payment terminals, payment links, and electronic money issuance. Its platform helps businesses manage cash flow, fund operations, and grow by enabling secure payment processing and quick setup. Customers can process transactions, receive payments via card and links, and use funds for ongoing operations, with revenue coming from transaction fees, service subscriptions, and optional cashback on debit usage. The product suite includes a single inbox to manage customer reviews, seamless integration with business systems, easy onboarding, flexible funding options, and local, personalized support. Compared with competitors, Teya focuses on hands-on customer assistance, simple-to-use technology, and adaptable funding to fit small-business needs, plus value-added features like cashback. The overarching goal is to simplify business operations for small owners so they can concentrate on their core activities and drive growth.

Company size
1,001-5,000
Company stage
Series C
Total funding
$1.1B
Headquarters
London, United Kingdom
Founded
2019

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