Data analyst

Team Responsibilities:
Our team is responsible for implementing the firm's key models, across all business divisions. These include for interest rates, house prices, borrower behavior, valuation, interest rate and credit risk, regulatory capital, financial reporting metrics.
As the center for implementation, we are also responsible for the development of a forecasting engine, which includes every loan, security, and significant accounting event for the firm, as well as forecasts of our risk and capital.
This shared service supports nearly every risk decision in the firm, including automated underwriting, distress decisioning, the profitability and risk of capital market decisions, the evaluation of credit and counterparty risk, accounting disclosures, and capital strategy.

Role Description:
Contribute to gathering business requirements to be implemented in the Plus Forecasting Engine
Participate in the data preparation, code development, and reporting to support baseline and ad hoc a
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 process for reports
Analyze / explain results, review trending and perform sensitivity analysis

Qualifications:
Degree in quantitative finance, statistics, mathematics, economics, data analytics or a related qualification preferred, with 1-3 years of relevant work experience.
Work experience and proficiency in programming and/or data mining languages such as SQL, Python
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