CCB Risk Modeling - Applied AI ML Senior Associate
CCB Risk Modeling - Applied AI ML Senior Associate
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Salary Not Disclosed
1 Vacancy
Job Description
Data Science & Model Insights AI ML Sr. Associate
The Data Science & Model Insights team is seeking talented individuals with expertise in machine learning big data and distributed computing specifically for applications within credit decision and fraud modeling. The ideal candidate will contribute to longterm profitable growth by leveraging strong business acumen collaborating effectively in a team environment and communicating insights to senior management.
Job Responsibilities:
- Design and develop machine learning models to drive impactful decisions across credit decision and fraud modeling.
- Research develop document implement maintain and support tools and frameworks that enhance AI/ML model explainability and fairness ensuring transparency and ethical use of models.
- Utilize stateoftheart machine learning methodologies and construct sophisticated models including deep learning architectures on big data platforms to solve complex business challenges.
- Work closely with senior management to develop and implement ambitious innovative modeling solutions ensuring their successful deployment into production environments.
- Collaborate with diverse teams including marketing risk technology model governance and research throughout the entire modeling lifecyclefrom development and review to deployment and operational use.
Required qualifications capabilities and skills:
- Ph.D. or Masters degree from a reputable institution in a quantitative discipline such as Computer Science Mathematics Statistics Econometrics or Engineering.
- Proven track record in designing building and deploying highquality machine learning models in production environments demonstrating a strong ability to translate theoretical concepts into practical applications.
- Indepth knowledge of advanced machine learning algorithms including regressions XGBoost Deep Neural Networks (CNN and RNN) clustering and recommendation systems with expertise in model design and hyperparameter tuning.
- Experience in interpreting complex machine learning models such as XGBoost and GBM with additional experience in interpreting deep learning models considered a valuable asset.
- At least one year of handson experience and proficiency in programming languages and frameworks such as Python TensorFlow Spark or Scala coupled with expertise in big data technologies like Hadoop Teradata AWS Cloud and Hive.
Preferred qualifications capabilities and skills:
- Strong expertise interest and track record of performing cuttingedge research on Explainable AI(XAI).
- Familiarity with large language models (LLMs) and their applications including experience in finetuning and deploying LLMs for natural language processing tasks.
- Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability scalability and efficiency). GPU experience is desired.
- Strong ownership and ; proven experience in implementing models in production.
Required Experience:
Senior IC
Employment Type
Full-Time
