business analyst financial products

Teya; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Gym access

WellHub fitness and mental wellness

Enhanced parental leave

Cycle-to-Work scheme

Health and life insurance

Pension scheme

25 days annual leave

Office snacks

Job summary

Enfint is seeking an experienced analytics professional to own complex business problems, build data-driven models, and translate insights into strategic recommendations. You will work with product, finance, marketing, and engineering to drive commercial decisions across credit, acquiring, and business accounts.

The role requires strong SQL and Python skills, the ability to structure ambiguous problems, and excellent stakeholder communication.

Qualifications

• 3+ years' experience in business analytics, credit analytics, valuations, strategy, customer analytics, or similar data-driven environment.
• Bachelor's degree in Mathematics, Physics, Statistics, Economics, or related quantitative discipline.
• Strong proficiency in SQL and experience using Python for data analysis and modelling.
• Ability to structure and solve complex, ambiguous business problems using a systematic, hypothesis-driven approach.
• Experience building analytical models or frameworks from scratch, including methodology, data, and assumptions.
• Strong commercial judgment and ability to connect analysis to business performance, strategic priorities, and decision-making.
• Excellent communication skills and ability to influence senior stakeholders.

Responsibilities

• Own complex analytical and business problems from definition through delivery.
• Build models and analytical frameworks from first principles.
• Build and maintain Net Present Value, unit economics, and customer lifetime value models across products.
• Analyze customer behavior, product performance, and portfolio economics to identify value drivers.
• Use SQL and Python to extract, manipulate, and analyze large datasets.
• Design, implement, and analyze experiments, including A/B tests and holdouts.
• Communicate complex analysis and present business-critical insights to senior stakeholders.
• Take ownership of projects with autonomy and align stakeholders around analytical outcomes.
• Support analytical capability across the wider team through knowledge sharing and standards.

Skills

SQL

Python

Data analysis

Stakeholder management

Communication

Problem solving

Autonomy

Hypothesis-driven approach

Education

Bachelor's degree in Mathematics/Physics/Statistics/Economics or related quantitative discipline

Tools

Job description

Описание

Teya builds a financial platform for local businesses across Europe, providing simple tools, thoughtful design, and human support for cafés, restaurants, salons, shops, and other entrepreneurs.

Задачи

• Own complex analytical and business problems from definition through delivery, structuring ambiguous questions into hypotheses, analytical approaches, and recommendations;


• Build models and analytical frameworks from first principles, defining the required data, methodology, and assumptions;


• Build and maintain Net Present Value, unit economics, and customer lifetime value models across credit, acquiring, and business account products;


• Analyze customer behavior, product performance, and portfolio economics to identify value drivers and improvement opportunities;


• Use SQL and Python to extract, manipulate, and analyze large datasets;


• Design, implement, and analyze experiments, including A/B tests, holdouts, and natural experiments;


• Challenge existing models, assumptions, and methodologies against real-world performance;


• Develop metrics, dashboards, and analytical frameworks for performance monitoring;


• Partner with Product, Finance, Marketing, Engineering, and Growth to translate analysis into commercial, product, and strategic decisions;


• Identify data gaps, analytical limitations, and opportunities to improve business measurement;


• Communicate complex analysis and present business-critical insights to senior stakeholders and leadership teams;


• Take ownership of projects with a high degree of autonomy, aligning stakeholders around a clear analytical approach and outcome;


• Support analytical capability across the wider team through methodologies, knowledge sharing, and analytical standards.

Требования

• 3+ Years' experience in business analytics, credit analytics, valuations, strategy, customer analytics, or a similarly data-driven environment;


• Bachelor's degree in Mathematics, Physics, Statistics, Economics, or a related quantitative discipline;


• Strong proficiency in SQL and experience using Python for data analysis and modelling;


• Ability to structure and solve complex, ambiguous business problems using a systematic, hypothesis-driven approach;


• Experience building analytical models or frameworks from scratch, including methodology, data, and assumptions;


• Strong commercial judgment and ability to connect analysis to business performance, strategic priorities, and decision-making;


• Excellent communication skills and ability to influence senior stakeholders;


• Comfortable presenting analytical findings to senior leadership and shaping strategic discussions with data;


• Self-directed, comfortable with ambiguity, and able to take ownership through project completion;


• Strong stakeholder management and collaboration skills across technical and non-technical teams;


• Nice to have: Advanced degree, familiarity with lending economics including expected loss, risk-adjusted returns, cohort repayment curves, NPV, or customer lifetime value.

Условия

• Flexible working hours agreed with the team;


• Free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness and nutrition apps through WellHub;


• Extended and improved maternity and paternity leave options;


• Cycle-to-Work Scheme;


• Health and Life Insurance;


• Pension Scheme;


• 25 Days of Annual Leave plus Bank Holidays;


• Daily office snacks;


• Friendly, comfortable, and informal office environment in Central London.