Data Analyst for mortgage analytics

RiskSpan

RiskSpan, a prominent player in analytics, modeling, data, and risk management solutions, addresses challenges in Consumer and Institutional Finance sectors. The team assists banks, securities issuers, and regulators by providing expertise in market, credit, and operational risks, along with IT solutions. This role supports the team’s mission to deliver insightful data analysis and strengthen mortgage analytics capabilities.

In this role you can expect to have the responsibilities:

• Identify and interpret trends in complex business processes through data analysis tools.
• Conduct data cleansing, transformation, and develop management reports.
• Document and solve complex business processes and technical issues.
• Aid in developing business requirements and test software solutions.
• Communicate analytical results and model outputs to clients.
• Apply statistical methods for client business problems.
• Implement best practices for data management and quality.
• Handle regular and ad-hoc data queries and analyses.

This role comes with the following benefits:

This role requires you to have:

• Proficiency in Python and data handling libraries such as Pandas and Numpy.
• Extensive experience with SQL.
• Strong academic background with a relevant degree.
• Proficiency in Microsoft Office, notably Excel.
• Experience with data sets in databases like MySQL.
• Familiarity with version control systems like Git.

You would benefit from having:

• Experience with data visualization tools such as Qlik, Tableau, or PowerBI.
• Capability to manage multiple projects and enjoy financial analytics.

RiskSpan champions equal opportunity and affirmative action employment, encouraging a diverse and inclusive workplace. Candidates must have the legal right to work in the USA unrestrictedly.