32 applicants

Company

Hudson Advisors L.P. · 1 day ago

Analyst, U.S. Residential Credit Investment

United States

Full-time

Remote

Entry Level

$80K/yr - $110K/yr

1+ years exp

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Comp. & Benefits

No H1B

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Responsibilities

Development, maintenance, enhancement and support of data analytics for the investment acquisitions team

Assist in investment screening process and help with data studies to set investment parameters.

Assist in creating and maintaining loan level / property level analysis and reporting.

Assist in monitoring performance, delinquencies, natural disasters and campaigns.

Assist in investment cash-flow modeling and returns analysis.

Assist in investment risk assessment and hedging.

Support growth of various loan acquisition channels

Create slides, charts and tables for various internal meetings and investment committee presentations.

Create ad hoc analytical reports, as requested.

Conduct independent ad hoc analyses.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data science/statistical skillsMicrosoft ExcelFinancial markets understandingPowerPointLarge data sets handlingProgramming languagesJavaC++PythonMatlabR

Required

Basic understanding of financial markets and programming skills

Strong mathematical, data science/statistical, and problem-solving skills.

Strong Excel and Power Point skills a must

Hands-on experience in working with large data sets.

Experience working with programming languages such as Java / C++ and/or Python (the position will not involve coding responsibilities, but will interact with technology staff frequently)

Experience working with mathematical tools such as Matlab / R is helpful.

Excellent interpersonal skills, including ability to communicate clearly and concisely both orally and in writing with all levels of management.

Ability to work autonomously and as a member of a team.

Ability to handle multiple projects at the same time.

Ability to work in a dynamic, deadline-driven environment with low to moderate supervision.

Bachelor’s Degree in a STEM subject (Math, Statistics, Physics, Computer Science, Engineering or another quantitative field) strongly preferred.

Proficiency in Word, Excel, Outlook and PowerPoint strongly preferred.

Efficiency in Excel, including ability to summarize data via formulas, lookups, Pivot Tables, conditional formatting, etc. required.