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Commercial Loan Closer
Highly articulate, reliable, and punctual with experience working in various industries, including legal (real estate and corporate law), banking, and software development providing support to senior and junior attorneys, loan officers, and a software development team. Enjoy working in a team environment and independently, willing to take the initiative and own responsibilities and projects. Internet savvy with skills in nCino; Shaw; Fidelity; Maestro; Microsoft Word; Excel; Outlook, LaserPro, and ComplianceOne. Always willing and good at learning new applications and systems. College degree - St. Mary's College of Maryland – Graduated with honors Bachelor of Arts, History.
St. Mary's College of Maryland
Bachelor's degree, History
N/A – Present
Associated Bank
Commercial Loan Administrator - Senior/AVP
December 1, 2022 – June 1, 2023
Associated Bank
AVP, Loan Administrator Senior
December 1, 2022 – May 1, 2023
TD
Commercial Loan Administrstor - Workout
March 1, 2020 – Present
TD
Commercial Loan Specialist
August 1, 2017 – Present
Optima Bank & Trust
Commercial Loan Assistant
May 1, 2016 – Present
Portsmouth, NH
BrokerSavant
Machine Learning Annotator
September 1, 2014 – Present
Chicago based firm. I telecommute from New Hampshire
Beneficial Savings Bank
Paralegal
January 1, 2008 – April 1, 2014
Cultural Fit Analysis
The candidate's career history is primarily in finance and legal administration, with a brief role in machine learning annotation. This background does not directly align with a typical 'Software Engineer' cultural fit, which often values continuous learning in programming, open-source contributions, or participation in developer communities. The diversity of roles shows adaptability, but the breadth of technical skills is limited. The target role of 'Software Engineer' is a significant pivot from the candidate's core experience.
Soft Skills & Operational Fit
The candidate's experience in loan administration and paralegal roles suggests attention to detail, process adherence, and potentially strong organizational skills. The Machine Learning Annotator role indicates an ability to collaborate with technical teams and provide feedback, which could translate to operational fit in a software development environment. However, direct evidence of soft skills relevant to a 'Software Engineer' role (e.g., problem-solving in a technical context, collaboration on code, agile methodologies) is not present.