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Carrington Holding Company, LLC · 1 day ago

Junior Quantitative Analytics Analyst, CCM

Greenwich, CT

Full-time

Hybrid

Entry Level

$70K/yr - $90K/yr

1+ years exp

Carrington Holding Company, LLC is an alternative asset management firm focused on control-based investing in the U.S. real estate, mortgage and fixed income markets. The Junior Quantitative Analytics Analyst will support the company’s asset management business by using statistical methods and programming skills to process and analyze large mortgage data sets.

Financial ServicesReal Estate

Responsibilities

Source, process, and organize large-scale datasets related to residential assets and macroeconomic indicators

Collaborate with senior analysts/associates to enhance or extend proprietary modeling and analytics frameworks

Build, maintain, and present investor-facing and internal reports; field follow-up questions and refine analyses

Develop and deploy analytical tools to automate routine portfolio-management tasks

Coordinate with CCM teams, servicing and lending divisions, and third-party vendors to keep projects moving

Respond promptly and accurately to ad-hoc data and analysis requests

Build rapport with enterprise-wide business leaders and collaborate on strategic business initiatives

Perform other duties as assigned

Qualification

PythonStatistical analysisMachine learningSQLBig data infrastructureLinuxGitCommunication skillsOrganizational skillsTeam player

Required

Bachelor's degree with a major in a quantitative field such as mathematics, physics, statistics, computer science or engineering

Solid statistical foundation and proficiency in Python for large-scale data analysis

Proven ability to juggle multiple ad-hoc priorities with diligence and speed

Highly motivated team player, quick learner, with excellent communication and organizational skills

Preferred

A graduate degree is preferred but not required

1–5 years of relevant experience at an investment bank or asset manager preferred; exceptional candidates with strong quantitative or programming skills will also be considered

Experience with machine-learning techniques and modern AI applications is highly desirable

Working knowledge of mortgage products is a plus

Familiarity with big-data infrastructures and cloud-based development is a plus

Git version control and SQL skills are beneficial