
Expert Data Analyst for Predictive Modeling
4 days ago
The Quantitative Modeling Associate is a key role in our organization, responsible for designing and developing sophisticated machine learning models to drive impactful decisions for the business.
- We are seeking an expert with a strong background in quantitative fields such as Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related fields.
Responsibilities:
- Design and develop advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network CNN, RNN and Transformer, Clustering, Recommendation) to solve complex business problems.
- Leverage big data/distributed computing/cloud computing platforms to optimize and accelerate model development processes.
- Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models).
Qualifications:
- Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields.
- Deep understanding of advanced machine learning algorithms and design and tuning procedures.
- Polished and clear communication skills.
Benefits:
- Maintain ownership and execution, proven experience in implementing models in production.
- Strong team player with ability to work closely with senior management team to develop ambitious, innovative modeling solutions.
Others:
- A minimum of 4 years of experience in developing and managing predictive risk models in financial industry.
- Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment.
- Machine Learning Algorithms (regressions, XGBoost, Deep Neural Network CNN, RNN and Transformer, Clustering, Recommendation)
- Big Data/Distributed Computing/Cloud Computing Platforms
- Python, Tensorflow or PyTorch, PySpark, SQL
- GPU Experience (a plus)
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