Job Description

Our client, a Los Angeles based financial services Company, is hiring for an experienced Assistant Vice President, Risk Analytics to join their Risk and Credit Group. The primary function of this role is to act as a Data Scientist for the Risk Management Department, and a Project Manager/Liaison for all related Risk systems and IT functions. You will need to design SQL queries and relational databases to carry out daily tasks and automate reports for the risk management department.

Responsibilities will include, but are not limited to:

·       Build, monitor, distribute risk reports and margin calculations

·       Design SQL query and relational databases to carry out daily tasks and automate reports

·       Create and Manage risk dashboards

·       Perform complex data analysis on account balances and positions across the firm

·       Manage ad hoc projects as requested by leadership

·       Be the system administrator and point of contact for various risk systems and tools

·       Present and explain analysis in a non-technical and accessible manner alongside data visualization

·       Perform other tasks and duties as required and assigned

Experience and Skills

·       Bachelor’s Degree from an accredited University, preferably in Computer Science, Data Science, or related field

·       Advanced proficiency in SQL and understanding of data access tools

·       5+ years’ experience in Information Technology, preferably for a financial services firm

·       5+ years’ experience in Data Analytics, Risk Analysis, or related role

·       Understanding of Equities, Options, and Margin is a plus

·       Must be detail oriented and maintain data integrity

·       Creative, solution-oriented mindset with the ability to handle pressure to meet deadlines

·       Able to work with minimal supervision, taking ownership of work and completing tasks in timely manner, while adapting rapidly to changing work environments, priorities and organizational needs

·       Ability to identify gaps in existing processes and gain efficiency through automation.

·       Experience working with multiple teams across different time zones