Job Description

• Deploy code to enhance the tools used by Capital Markets to improve line of sight to risks (such as CUBE enhancements) including monthly reconciliation of variance for Gain on Sale.
• Create a framework of governance and controls that we can automate to minimize the number of checks we are deploying each day, leveraging computing power vs human power.
• Ensure any system changes made within Capital Markets are integrated in a uniform manner throughout the organization.
• Build on the framework of the existing CUBE technology and migrate this to a Fabric platform. The goal is to have a real time data layer that allows us to have a responsive intuitive data set that can be interacted with by users with basic systems knowledge.
• Take on additional tasks as assigned from the technology team as appropriate to meet overall company objectives, this may include performing tasks for other departments or for audit reasons etc.
• Maintain our competitive edge in technology by evaluating options for technology expansion and improving on current use of tools - What new methods or tech can we deploy to allow us to more easily manage the risks in the position.
• Automation task force: Participate as Capital Markets representative in the ATF that will focus on automation initiatives with emphasis on reducing workload to expand capacity and reduce error rate.
• Investor integration: Serve as lead person on the tech side to correctly get all the new investor elements such as program codes etc assigned.  
• Provide guidance on how we integrate the elements of business process management into our data so we can analyze and help aggregate it (i.e. a date is useless but a date grouped by month is helpful). This includes the tools necessary to support Daily P/L reporting that will enable our understanding of fair market value vs shift in mix exposures.
• Develop and lead an adaptive, innovative and future-looking analytics organization that includes agile and measurable insights that drive business results.
• Partner with business leaders to proactively determine how data and insights can better advise and support their goals.
• Contribute to the overall corporate strategy by instituting industry leading approaches, methodologies and technologies to leveraging data and making informed decisions.

• Basic Knowledge of mortgage origination is required but preferably well skilled at knowing key metrics a mortgage capital markets function would be evaluating.
• 5+ years of professional experience in corporate business intelligence, data solutions or data strategy roles, preferably within TV, Entertainment, Media, Sports or Mortgage industries.
• MBA and/or advanced degree in business intelligence or related field of study is preferred.
• Demonstrable experience leading and implementing ambitious and innovative data strategies.
• Experience and high comfort level working in environments that require both “real time” and longer-cycle reporting and insights.
• Proven understanding of both quantitative tracking and research methodologies.
• The highest standards of integrity aligned with what we value.
• High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).
• Knowledge of Python and SQL core programming skills to extract and retrieve data are a requirement and knowing how to leverage AI to enhance those core skills is a plus. Be ready to explain an example of how you have leveraged AI to improve process.