Senior Specialist - Quantitative Models

In this role, you will:

- Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation

- Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives

- Advise and guide team on moderately complex model optimization and processes strategies

- Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements

- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Required Qualifications:

- 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Job Expectation:

- Experience with AI/ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and GenAI tools (e.g., prompt engineering, LLM APIs, synthetic data generation).

- Hands-on experience with SQL Semantic layer platforms and Spark/PySpark for large data processing.

- Hands-on experience implementing data pipeline solutions using Apache Iceberg.

- Familiarity with different data catalogs available for Apache Iceberg (Hive, Hadoop, Nessie, REST) and their integration with data pipelines.

- Knowledge of partitioning, sorting, and distribution strategies to optimize read operations.

- Strong expertise in data engineering and analysis and ability to handle large volumes of data efficiently.

- Apply AI and GenAI techniques to enhance model development, data processing, and automation of risk and compliance workflows.

- Collaborate with cross-functional teams to integrate Python-based solutions and AI-driven insights into financial modeling and data engineering pipelines.

- Stay current with emerging technologies in AI/ML and GenAI to drive innovation in quantitative modeling practices.