Not specified; bonus available; pension scheme, ho...
Hybrid
Deep learning model development
Sequential data processing (lstms/rnns/transformers)
Python and sql coding proficiency
This role focuses on leading the development of next-generation deep learning approaches to advance current underwriting models
Job Summary
This role focuses on leading the development of next-generation deep learning approaches to advance current underwriting models.
Candidates will bridge the gap between ambitious R&D and tangible in-market results by driving ideas from prototypes to production.
The company offers high performers strong career progression through Capital One University training programs and diverse benefits including pension and private medical insurance.
Matching Summary
This role focuses on leading the development of next-generation deep learning approaches to advance current underwriting models.
Salary
Not specified; Bonus available; Pension scheme, holiday entitlement, private medical insurance
Skills & Requirements
Must-have
Deep learning model development
Sequential data processing (LSTMs/RNNs/Transformers)
Python and SQL coding proficiency
PyTorch or TensorFlow framework experience
GPU cluster training experience
Unstructured data tokenization techniques
Nice-to-have
Strong business acumen and stakeholder communication
Mentoring junior team members
Setting software engineering best practices
Code review leadership
Cross-functional project collaboration
Key Requirements
Proven track record leading model development
Experience with time series or language models
Hands-on experience with modern ML frameworks
Strong understanding of probability and statistics