Lead F&G's investment data strategy and modernization efforts, focusing on data warehouse optimization, strategic data architecture, and analytics generation to support investment decisions and actuarial planning.
Manage investment data, support ad-hoc data requests, design comprehensive data strategies, and support the data needed to generate cash flows for investments held.
Oversee a team of analysts and interact with investment strategy, investment risk, investment accounting, actuarial, middle office, treasury, and technology teams, as well as external asset managers.
Lead investment data warehouse modernization initiatives to improve data accessibility, quality, and processing efficiency.
Design and implement comprehensive investment data strategy aligned with business objectives and regulatory requirements.
Evaluate and recommend data architecture improvements to support scalable analytics and reporting.
Drive automation of existing data processes and integration across various investment systems.
Oversee the creation and maintenance of the internal reporting database to support comprehensive investment analytics and decision-making.
Manage and fulfill ad-hoc data requests from internal stakeholders, ensuring accuracy and timely delivery.
Support cash flow generation processes including review of data and execution of controls that are intended to validate the reasonableness of the cash flows generated.
Detect and correct data errors in investment tools and interface with other investment-related data owners to ensure consistency across platforms (e.g., BlackRock Aladdin and Clearwater).
Provide guidance, feedback, coaching, and performance reviews to direct reports.
Foster a data-driven culture and collaborate with technology teams on data infrastructure improvements while maintaining business focus.
Requirements
Bachelor9;s degree in mathematics, economics, finance, data science, or related field
Minimum of 8 years of experience in portfolio analytics, investment data management, data warehouse operations, or related field
CFA, FRM, CIPM, and/or CAIA designation preferred
Prior leadership experience preferred
Experience with data warehouse modernization projects and data strategy development
Background in investment data analysis and cash flow modeling
Actuarial experience a plus
Experience with asset modeling and data analysis using Python, R, or similar programming languages a plus
Active engagement with AI tools and technologies to enhance data analysis capabilities and drive innovation in investment analytics
Strong capabilities in Microsoft Excel (VBA) and SQL
Working knowledge of Python, Tableau, and Alteryx preferred
Experience with data warehouse technologies and ETL processes
Familiarity with Bloomberg, BlackRock Aladdin, and/or Clearwater preferred
Understanding of data architecture principles and best practices
Demonstrated understanding of fixed income analytics and investment data requirements
Strong project management skills with experience leading data modernization initiatives
Excellent problem-solving skills with advanced analytical and reasoning abilities
Ability to translate business requirements into data solutions
Experience managing and developing data-focused teams
Strong communication skills with ability to present complex data concepts to various stakeholders
Self-starter who demonstrates strong initiative and displays high energy level
Team player with ability to collaborate across functional teams and work effectively in a small group environment