Capital Markets Technology Engineer

AmeriSave Mortgage Corp.

1d•$95,000 - $135,000•Remote

About The Position

AmeriSave Mortgage is a leading online mortgage lender, dedicated to simplifying the mortgage process and empowering homeowners with fast, transparent, and competitively priced loans. In addition to helping customers achieve the dream of homeownership, we also assist them with refinancing existing mortgages and securing home equity loans. Through our innovative technology and customer-centric focus, we strive to make home financing more accessible and tailored to individual needs. Position Overview The Capital Markets Technology Engineer will support capital markets demands to enable easy access to data and to help implement solutions that will streamline processes and standardize information flow so it is uniform with the rest of the organization. The role requires a robust knowledge of the risks associated with compliance and working to solve for the complexity of Investor, State and Federal rules implementation and how we audit for risks.

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.
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.

Nice To Haves

MBA and/or advanced degree in business intelligence or related field of study is preferred.

Responsibilities

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.