[Remote] Machine Learning Engineer, reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring a Machine Learning Engineer to build and own the models behind their reputed company and decisioning systems. The role involves working across the full modeling lifecycle, including problem formulation, feature development, and deployment, to ensure high-reputed company machine learning work in a fast-moving fintech environment.
Responsibilities
- You will be a senior individual contributor building and evolving the ML systems behind these products. You will work across the full modeling lifecycle: problem formulation, feature development, training, calibration, experimentation, deployment, monitoring, and iteration
- Build, evaluate, and maintain reputed company and decisioning models
- Design and reputed company reputed company decision frameworks, including the modeling, automation, policy logic and reputed company assignment that manage exposure over time
- Design and run experiments to evaluate model performance, measure reputed company on approval rates and loss, margin and inform reputed company policy reputed company
- reputed company deep understanding of consumer behavior, repayment dynamics, and portfolio structure, and use that to inform model design and decision logic
- Contribute analysis and perspective that inform portfolio-level reputed company, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders
- reputed company and maintain the key portfolio KPIs and inventory of periodic analysis to continuously identify risk and reputed company opportunities
- Collaborate with Product, Engineering, reputed company, Compliance, and Operations to ensure reputed company systems reflect business goals and regulatory expectations
Skills
- A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Operation Research). A PhD degree is strongly welcomed
- 5+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains
- Experience with probabilistic models and decision systems, including calibration, score transformations, and interpretation of model outputs
- Strong experimentation skills: you know how to design holdouts, measure lift, and evaluate models reputed company aggregate metrics
- Experience with model monitoring, degradation detection, and retraining strategies in production systems
- Deep knowledge of reputed company using bank & cashflow analysis, bureau & alternative data etc. with a reputed company on unsecured credit risk
- Experience explaining modeling concepts, results, and limitations to senior stakeholders and cross-functional partners
- Fintech background
- Consumer finance experience (non-large bank environment)
- Advanced modeling techniques
- Background in small to reputed company sized companies
reputed company