Responsibilities
- Design and evaluate novel modeling strategies leveraging deep learning models such as transformers, embeddings, and neural networks.
- Enhance and maintain scalable frameworks that integrate with current machine learning workflows to strengthen credit risk assessment and loss forecasting.
- Collaborate with data scientists, engineers, and product teams to convert complex analytical concepts into deployable solutions.
- Explore cutting-edge representation learning methods, including pretraining and fine-tuning, using real-world financial datasets.
- Disseminate research insights and support team development to expand organizational expertise in deep learning.
- Assess model performance not only on predictive accuracy but also on tangible improvements for customers and business partners.
Requirements
- Proven experience in deep learning, including neural networks, embeddings, or transformer-based models.
- Proficiency with modern machine learning libraries such as PyTorch, TensorFlow, or equivalent tools.
- Demonstrated application of machine learning to practical challenges, preferably in financial domains like credit, lending, payments, or banking.
- Ability to align data science initiatives with quantifiable business results.
- Strong communication skills with a capacity to convey technical concepts clearly and effectively.
Nice to Have
- Lack of some qualifications is acceptable; potential and motivation are prioritized. Candidates with drive and ambition are encouraged to apply.
Benefits
- Fully remote work environment with team members across 14 countries and 12 time zones, including a home office stipend.
- Competitive salary and equity packages that reflect individual potential and contribution.
- Comprehensive health coverage with flexible plans and significant global subsidies.
- Direct access to leadership, fostering a culture where impactful ideas are quickly recognized and adopted.
- Fully paid in-person gatherings twice a year in global locations for team connection and collaboration.
- Career growth tied directly to impact, with advancement based on contribution rather than fixed timelines.
Compensation
Competitive salary with generous equity
Work Arrangement
Virtual-first
Team
Team spans 14 countries and 12 time zones
Other
- Biannual travel to company offsites is mandatory.
- The team operates across 14 countries and 12 time zones.
- Paid global in-person gatherings occur twice a year for team bonding and collaboration.
