Quant Analytics Associate

About the Role

Join our Regulatory Operations team as a Quant Analytics Associate I and help shape the future of business intelligence and automation. As a Quant Analytics Associate within Regulatory Operations, you will be responsible for providing business intelligence through data analysis and optimizing processes through automation. You will develop a deep understanding of operational processes within the Regulatory Operations pillar and collaborate with subject matter experts and management to deliver impactful automation solutions. This role offers the opportunity to learn from and work with multiple organizations across Regulatory Operations.

Key Responsibilities

• Interact with stakeholders to understand business needs and work closely with them to help uncover opportunities for data analysis and automation.
• Partner with subject matter experts and management to deliver automation solutions from idea conception through implementation.
• Conduct ad-hoc data analysis focused on uncovering new business intelligence for stakeholders that will optimize their day-to-day operations.
• Develop and lead simplification projects to improve efficiency and productivity of business users through automation and self-service.
• Provide exploratory questions, insights, and analysis to identify potential improvement opportunities.
• Use data to tell compelling stories that will resonate with stakeholders and help them understand where opportunities exist.
• Foster a collaborative team environment and continuously seek out new tools and skills to improve your work.

Requirements & Tech Stack

• Have strong exposure and understanding to LLM, ML, AWS, Snowflake, and API integration.
• Demonstrated experience with process automation using tools such as Alteryx, SQL, Python, and other Business Intelligence tools.
• Demonstrated experience conducting data analysis with the ability to tell compelling stories using data.
• 2+ years' of experience with tools such as Alteryx, Tableau, SAS, SQL/PLSQL, SharePoint, Python, Snowflake, and be familiar with AI/ML concepts and build LLM Prompts.
• Demonstrated ability to objectively analyze issues and form decisions.
• Demonstrated ability to synthesize data into actionable insights and effectively communicate to all levels of management.
• An acute attention to detail.
• Operate in a self-directed manner with a strong desire to deliver superior results with urgency.
• Analytical thinker with superior data analysis and story-telling skills.
• This role is not remote or hybrid; 5 days a week in office.

Qualifications

• None explicitly listed beyond the requirements and tech stack.