Construction Draw Process Analyst

3 weeks ago


Hyderabad, Telangana, India FinacPlus Full time

About FinacPlus

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FinacPlus is a reputable company that provides mortgage loan management services to esteemed clients in the industry.

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Salary and Benefits

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We offer a competitive salary range of $90,000 to $120,000 per annum, commensurate with experience, along with benefits that include hybrid working arrangements and flexible timings.

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Job Description

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The Draw Processing Analyst position involves interacting with real estate developers, processing draw requests under mortgage agreements, and ensuring timely and accurate release of funds using best practices.

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Key Responsibilities:

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  • ">
  • Maintain strong relationships with clients and stakeholders;">
  • Serve as a liaison between clients and the company in draw processing;">
  • Remediate disputes while protecting lender's position;">
  • Procure evidence of construction progress on site;">
  • Assess reasonableness of funding requirements to current policy;">
  • Communicate status updates and thematic concerns to ensure project completion;">
  • Procure and evaluate documentation to mitigate financial risks;">
  • Maintain open communication lines with external stakeholders;">
  • Provide necessary reporting to team members.">
    • ">

Requirements and Qualifications

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To be successful in this role, you should possess a Master's degree in finance or a related field, have proficient English language skills, and 5+ years of customer-facing experience. Strong speaking skills, attention to detail, and organizational skills are also essential.

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A deep understanding of the mortgage industry and basic principles of finance is strongly preferred. Knowledge of the construction industry is a plus, as is the ability to interact successfully with owners, developers, contractors, and other stakeholders through various phases of construction projects.

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You should be proficient in computer hardware and software, including MS Office, and possess strong Microsoft Excel skills to summarize and present data efficiently.



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