ANALYTICS PORTFOLIO SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: July 29, 2024 - The Analytics Portfolio necessitates proficiency in business analysis within the mortgage sector, alongside expertise in SQL, Tableau, Python, R, and other relevant tools. Candidates must demonstrate capabilities in forecasting, statistical modeling, and navigating relational databases and business intelligence platforms, while also possessing strong communication, critical thinking, and organizational skills. The role demands autonomy, proactive problem-solving, and adeptness in managing multiple projects with a sense of urgency toward achieving critical goals and meeting challenging deadlines.

Summary of Analytics Portfolio Knowledge and Qualifications on Resume

1. BS in Statistics with 5 years of Experience

  • Experience in portfolio construction/management (fixed income preferred but not mandatory), risk/return attribution and research into strategies for generating alpha and beta
  • Experience in leading RandD/quantitative research teams is essential
  • Experience in leading a team on portfolio construction/management
  • Experience in mining and analysis of large amounts of market data and macro-economic variables to generate investment signals
  • Back-testing and simulation of strategies, buy-side experience
  • Experience working with Machine Learning models and statistical techniques
  • Direct experience in portfolio construction and quantitative research
  • A strong background in mathematics and statistics
  • Strong programming skills in Python and R
  • Experience in leading RandD/quantitative research teams

2. BS in Data Science with 2 years of Experience

  • A strong mathematical background
  • Experience developing analytical computer models
  • Drive to learn and develop new skills to suit the work
  • Demonstrable high attention to detail
  • Confident in managing and manipulating large amounts of data
  • Ability to take ownership of projects to build complex new models
  • Transparent work that makes things simple for the wider team.
  • A creative thinker who thrives off direct responsibility and delivering value.
  • Familiarity with Microsoft Office products including Word and Excel.
  • A foundational understanding of real estate markets with particular emphasis on multifamily assets
  • Good Organizational skills, good verbal and written communication skills
  • Self-motivation whether working independently or on a team

3. BS in Computer Science with 3 years of Experience

  • Business analysis experience within the mortgage industry
  • Experience in SQL, Tableau, Python, R, etc. 
  • Make forecasting and/or statistical modeling experience.
  • Have a working understanding of relational databases and business intelligence tools 
  • Have excellent verbal and written communication skills 
  • Have proven strong critical thinking skills and analytical abilities 
  • Have the ability to work well as a member of a team and handle multiple projects simultaneously 
  • Have strong organizational skills with close attention to detail 
  • Have the ability to work under minimal supervision.
  • A sense of urgency about solving problems, meeting challenging deadlines, and achieving critical goals.