Data Analytics (Python)

Must Haves:

• Coding Experience: Must have experience using SQL and Python.
• Background: Ideal candidates are from a data science or computer science background.

Responsibilities:

• Gathering Business Requirements: Contribute to gathering business requirements for implementation in the Forecasting Engine.
• Data Preparation & Reporting: Participate in data preparation, code development, and reporting for baseline and ad hoc analytics.
• Analysis: Provide timely, relevant, and robust analyses to support business decisions.
• Automation: Contribute to the automation of processes related to the implementation of methods and models in the Forecasting Engine.
• Collaboration: Collaborate with team members and interact across organizational lines to meet business objectives.
• Documentation: Follow appropriate controls and standards to maintain and create documentation for processes and reports.
• Result Analysis: Analyze/explain results, review trending, and perform sensitivity analysis. Analyze and explain drivers for various components and metrics related to required capital.

Qualifications:

• Degree: Degree in quantitative finance, statistics, mathematics, economics, data analytics, or related quantitative field preferred.
• Experience: 1-3 years of relevant work experience.
• Programming Proficiency: Work experience and proficiency in programming and/or data mining languages such as SQL, Python, SAS, or R.
• Data Experience: Experience working with large datasets and relational databases. Experience with Tableau preferred.
• Skills: Strong quantitative, analytical, and problem-solving skills. Strong presentation skills.
• Industry Experience: Mortgage industry experience preferred.