Senior Financial Associate

Responsibilities:

• Develop both production-level and ad-hoc technical solutions for data analysis, simulation, scraping, and warehousing to support mortgage risk analytics projects.
• Utilize and enhance existing Oakleaf products and tools (such as ETL, data scraping, damage calculations, etc.).
• Contribute to cloud application development efforts, including designing, coding, testing, and deploying applications on cloud platforms.
• Collaborate with internal and external users/clients to analyze business requirements and convert requirements to technical solutions.
• Develop a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with users and stakeholders.
• Use statistical methods, modeling, analytical methodologies, and data analysis to develop and deploy tools including dashboards, infographics, reports, and models to inform and support decision-making.
• Mine, process, and analyze internal and external data using KPIs, business results, industry sources, competitor intelligence, and customer information.
• Support and contribute to external business analytics projects and processes to provide data-driven insights used to advise the client and develop strategies for operational improvements and future business initiatives.

Requirements:

• Bachelor's or Advanced Degree in computer science, information systems, or relevant analytical / engineering disciplines is required. 
• 7+ years of quantitative analysis and software development experience in the financial services industry, preferably in a consulting environment.
• Strong, well-rounded Python skills to develop production-level data processing tools and analytics platforms.
• Strong SQL programming skills.
• Strong problem-solving and critical-thinking skills.
• Experience with cloud application development, including deploying applications on cloud platforms (e.g., AWS, Azure, Google Cloud).
• Nice-to-have skills: Java, C++, SAS, R, VBA, and/or Big Data experience.
• Ability and initiative to work independently and on a team to meet project goals.
• Understanding of mortgage loan data, particularly loan performance and mortgage servicing data.
• Familiarity with statistical methods, modeling, and analytical methodologies.
• This is a remote position and requires the ability to work in a home office environment with the ability to work effectively surrounded by moderate home environment noise.