Analyze large, complex datasets to uncover patterns, insights, and trends that inform business decisions. Predictive Analytics:
Build and deploy machine learning models to forecast financial outcomes, detect fraud, optimize credit risk, and enhance customer personalization. Algorithm Development:
Develop and improve algorithms for financial services such as pricing or risk assessment. Data Visualization:
Create compelling visualizations and dashboards to communicate findings to stakeholders. Collaboration:
Work closely with product managers, engineers, and other cross-functional teams to integrate data-driven insights into our products and strategies. Data Engineering Support:
Partner with data engineering teams to ensure data pipelines are robust, scalable, and optimized for analysis. Essential: Minimum of 3+ years of experience as a Data Scientist, ideally within a FinTech or high-growth startup environment. Proficient in Python, SQL, machine learning algorithms, and foundational MLOps techniques. Benefits Why join YouLend? Award-Winning Workplace:
YouLend has been recognised as one of the "Best Places to Work 2024" by the Sunday Times for being a supportive, diverse, and rewarding workplace. Award-Winning Fintech:
YouLend has been recognised as a "Top 250 Fintech Worldwide" company by CNBC. We offer comprehensive benefits package that includes: Stock Options Private Medical insurance via Vitality EAP with Health Assured Enhanced Maternity and Paternity Leave Modern and sophisticated office space in Central London Free Gym in office building in Holborn Subsidised Lunch via Feedr Deliveroo Allowance if working late in office Monthly in office Masseuse Team and Company Socials Football Power League / Squash Club Salary:
£80,000 - 95,000 + 10% annual bonus based on performance At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.
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