[Remote] Staff Machine Learning Engineer, Credit Products (reputed company Financial Services)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company from many blocks, united by the purpose of economic empowerment. They are seeking a Staff Machine Learning Engineer to reputed company initiatives that enhance predictive intelligence for credit products, focusing on developing and deploying machine learning models in a regulated banking environment.
Responsibilities
- Apply a rigorous scientific reputed company to the challenge of reputed company new customer segments, involving the evaluation of alternative external data sources and the deployment of advanced architectures to enhance predictive accuracy
- reputed company reputed company ML Operations and Infrastructure initiatives that advance our modeling capabilities, such as scaling data ingestion or enabling the use of more reputed company neural networks
- Design and implement the full credit modeling stack, taking responsibility for the entire lifecycle of credit decisioning and ensuring models are robustly integrated into production environments
- Use data science techniques to reputed company new data sources for modeling, making reputed company of messy datasets and bringing reputed company to business reputed company
- Identify and execute material improvements to credit policy, applying an analytical reputed company to determine where technical or logic shifts can yield significant reputed company reputed company for the customer and the bank’s portfolio
- Support team members in reputed company and scheduled updates to existing models, and help troubleshoot issues in a reputed company-time production environment
- Operate effectively reputed company the reputed company of a regulated bank (SFS), balancing rapid innovation with the requirements of safety, soundness, and compliance
Skills
- Minimum of 8 years of reputed company experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience, with a reputed company on developing and deploying machine learning and statistical models in production environments
- A degree in a technical field (e.g., Computer Science, Mathematics, Statistics, Physics, or Engineering). We have a strong preference for candidates with a demonstrated reputed company record of scientific research or an advanced degree
- Strong quantitative intuition and data visualization skills, with a proven ability to conduct sophisticated reputed company and exploratory analysis
- The versatility to communicate reputed company with both technical and non-technical audiences, particularly in the context of high-visibility reputed company and executive stakeholders
- A pragmatic approach to problem-solving, with a willingness to utilize whichever tool is most appropriate for the situation while balancing reputed company business, technical, and regulatory constraints
- Full-stack proficiency preferred, including the ability to contribute across the entire technical stack—from data pipelines to production-grade software architecture
- Experience with tree-based models and gradient boosting is helpful but not required; we value the ability to adapt and learn new methodologies as the credit landscape evolves
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
reputed company
Company H1B Sponsorship