The Data & Automation Services team within the Testing Center of Excellence Organization is seeking a strategic, analytical professional to leverage AI/ML for risk reduction and efficiency, providing senior management with data-driven insights and managing complex projects to achieve strategic objectives. Join us today and drive risk reduction and efficiency using AI/ML, managing projects and delivering strategic data solutions.

As a Quant Analytics Senior Associate on the Data & Automation Services Team, you will be leveraging advanced AI/ML techniques, LLMs, and analytics to drive risk reduction and operational efficiency. You will independently engage with internal stakeholders to gather requirements and manage complex projects from inception to completion, delivering strategic data-driven solutions that align with business objectives. In this role you should have a strong analytical mindset, excellent communication skills, and the ability to translate complex data into compelling narratives that inform decision-making across the organization.

Job Responsibilities 

Engaging with stakeholders and developing business requirements Leverage AI/ML techniques and analytics to develop solutions that drive risk reduction and operational efficiency. Manage complex projects from inception to completion, ensuring alignment with business objectives and stakeholder requirements. Collaborate with cross-functional teams, including business, technology, and data management, to gather requirements and deliver data-driven solutions. Stay current with industry trends and advancements in AI/ML and analytics to continuously improve processes and solutions. Ensure data quality and integrity by implementing best practices in data management and governance. Documenting developed AI/ML models to stakeholders Provide senior management with strategic insights and data-driven narratives to support major initiatives and inform decision-making.

Required qualifications, capabilities and skills 

Bachelors degree in a quantitative or related field.  Experience in the financial services industry, particularly in risk management, compliance, or controls. Minimum of 3+ years of experience in data analytics, with a strong focus on LLM, machine learning, Python, and data management tools. Advanced proficiency in Python for data analysis and machine learning, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Extensive hands-on experience with machine learning techniques, including supervised, unsupervised, and reinforcement learning. Proficiency in natural language processing (NLP) and large language models (LLMs) for advanced text analysis and automation. Expertise in data wrangling and workflow automation tools like Alteryx. Strong SQL skills for complex data extraction, transformation, and loading (ETL) processes. Proven track record of managing complex projects independently, from requirement gathering to solution implementation and delivery. Comfortable making decisions under uncertainty and ambiguity, and proven ability to structure problems and develop analytical frameworks while addressing business and technical risks. Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment.

Preferred qualifications, capabilities and skills 

Experience with data visualization tools such as Tableau or Power BI to create insightful dashboards and reports. Familiarity with cloud-based data platforms such as AWS, Azure, or Snowflake for scalable data storage and processing.