Published: Tue, 24 Jun 2025 22:50:59 GMT
Position: Lead Decision Scientist
Company Overview:
LemFi (YC S21, Series A) is a financial technology company revolutionizing the way the diaspora community in North America, Europe, and the United Kingdom conducts global money transfers.
We offer a comprehensive range of products and services through our all-in-one app, allowing our customers to send, receive, manage, and make the most out of their money. With over 1 million customers and growing, we are seeking talented individuals to join our team and help shape the future of financial services for immigrants worldwide.
About the Role:
We are seeking a highly analytical and detail-oriented Lead Decision Scientist to lead the development, deployment, and optimization of credit decisioning and risk models. In this role, you will play a critical role in shaping our lending strategy, building data products, and driving portfolio performance through data-led insights.
As a member of our team, you will thrive in a dynamic fintech startup environment, where we value individuals with a humble and uplifting attitude, along with a strong work ethic. Our team is passionate about their work and fields of expertise, and we encourage cross-functional collaboration to ensure the success of our company and the satisfaction of our clients.
Key Responsibilities:
– Develop and maintain credit risk and affordability models using bureau, open banking, and alternative behavioral data.
– Oversee the entire model lifecycle, including data sourcing, feature engineering, model development, validation, and monitoring.
– Conduct champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience.
– Analyze credit performance data to generate actionable insights and support strategic decisions.
– Mentor and develop a team of analysts/data scientists as the team grows.
– Work closely with Data Engineering to deploy models into production pipelines.
– Collaborate with stakeholders to define modeling goals and interpret model outcomes in a business context.
Requirements:
– 5-7 years of experience in consumer credit, with a focus on data science or decision science.
– Hands-on experience building models in Python using libraries like scikit-learn, XGBoost, or LightGBM.
– Strong experience working with transactional datasets (e.g., Open Banking and Categorization) and bureau data (e.g., Experian, Equifax).
– Deep understanding of feature engineering, data preprocessing, and handling class imbalance.
– Ability to evaluate models using appropriate metrics (e.g., AUC, KS, precision/recall) and validate across multiple segments.
– Familiarity with standard practices for model monitoring, performance tracking, and data drift.
– Strong SQL skills for data extraction, joining, and transformation.
Preferred Skills:
– Familiarity with unsupervised learning methods such as K-means, DBSCAN, PCA, or autoencoders, and their application in credit use cases such as behavioral segmentation, fraud detection, or exploratory analysis.
– Experience working in a startup or scale-up environment with fast decision-making cycles.
– Exposure to alternative data sources (e.g., device data, psychometric scoring) for credit scoring.
If you are a highly motivated and analytical individual with a passion for data exploration, modeling, and experimentation, we encourage you to apply for this exciting opportunity at LemFi. Join our team and help us build the future of financial services for immigrants worldwide. Apply link