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.
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.
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.

Requirements

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.

Benefits

401(k)
Dental insurance
Disability insurance
Employee discounts
Health insurance
Life insurance
Paid time off
12 paid holidays per year
Paid training
Referral program
Vision insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata strategydata solutionsdata analyticsreal time reportingquantitative trackingresearch methodologiesCUBE technologyFabric platform

Soft Skills

leadershipinnovationadaptabilitycommunicationintegritycollaborationproblem-solvingstrategic thinkinganalytical skillsproactive approach

Certifications

MBAadvanced degree in business intelligence