Data Analyst

Key Responsibilities:

Contribute to gathering business requirements to be implemented in the Mercury Plus Forecasting Engine.
Participate in the data preparation, code development, and reporting to support baseline and ad hoc analytics.
Provide timely, relevant, robust analyses to support business decisions.
Contribute to automation of processes related to implementation of various methods and models in the Forecasting Engine.
Collaborate with team members and interact across organizational lines to meet business objectives.
Follow appropriate controls and standards established to maintain and create documentation for processes & reports.
Analyze / explain results, review trending and perform sensitivity analysis.

Key Requirements and Technology Experience:

Key Skills: Python, SQL, SAS or R.
Degree in quantitative finance, statistics, mathematics, economics, data analytics or a related quantitative field preferred, with 3-5 years of relevant work experience.
Work experience and proficiency in programming and/or data mining languages.
Experience working with large data sets and relational databases.
Strong quantitative, analytical, and problem-solving skills.
Strong presentation skills.
Mortgage industry experience preferred but not required.