fintechpythonsqlproduct managementa b testingunderwritingcredit riskpricingopen bankingconsumer lending
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Текст:
Hirify AI/Оригинал
TL;DR
Product Lead (Consumer Lending) (Fintech): Own the Express/Mid-prime unsecured personal loan product end to end, covering proposition, marketplace offers, conversion, pricing, underwriting, and portfolio performance with an accent on balancing growth, credit quality, and unit economics. Focus on optimising Open Banking and cashflow underwriting, managing adverse selection, calibrating credit models, and scaling the lending book profitably.
Location: London, United Kingdom; hybrid with 3 days a week in the office.
Company
hirify.global is a UK fintech using advanced AI and Open Banking data to provide fair, affordable personal finance and unsecured personal loans.
What you will do
Own the Express/Mid-prime unsecured personal loan product, including its proposition, roadmap, performance, economics, and balance between growth and credit quality.
Lead quoting and offer presentation across aggregator and price-comparison marketplaces, optimising eligibility, risk-based pricing, and offer design.
Own the customer journey from quote to disbursal, including Open Banking data collection, conversion, drop-off, and book quality.
Shape underwriting strategy, segmentation, credit policy, decisioning logic, and credit model calibration with risk and data science teams.
Monitor portfolio performance, unit economics, adverse selection, emerging risks, and opportunities across the customer lifecycle.
Design experiments, define management information, make actionable recommendations, and present product updates to senior leadership and governance forums.
Requirements
Around four to five years of experience in product, credit strategy, analytics, or a closely related role within consumer lending or fintech.
Experience in unsecured consumer lending, ideally Unsecured Personal Loans, including exposure to customer acquisition through price-comparison or aggregator marketplaces.
Hands-on SQL skills and the ability to analyse datasets independently; experience with Python or R is expected as an analytical advantage.
Experience working with or alongside credit decisioning, scorecards, or risk models, including how they are built, monitored, and adjusted for a specific population.
Experience with pricing, eligibility, offer design, experiments, or A/B tests.
Evidence of using analysis to influence decisions and accountability for commercial results.
Strong written and verbal communication skills, including the ability to present clearly to senior stakeholders.
Ability to collaborate credibly with risk, commercial, engineering, and data science teams.
Ability to balance customer needs, conversion, growth, portfolio performance, and unit economics in a scaling environment.
Nice to have
Direct experience in higher-APR or near-prime lending.
Experience with Open Banking data or cashflow underwriting.
Experience in a fast-growing fintech.
Experience with Python or R for analysis, in addition to SQL.
Culture & Benefits
Hybrid work with 3 days per week in the office.
Equity and an employee loan.
25 days of annual leave plus 8 bank holidays.
Two paid volunteering days per year and a paid one-month sabbatical after four years.
Free gym membership and a team wellness budget.
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