About the position The Quantitative Analytics Analyst will be responsible for supporting the company’s asset management business by using statistical methods and programming skills to process and analyze large mortgage data sets from various sources. Design portfolio-monitoring reports and modeling mortgage performances for pricing and risk applications. Daily tasks also include addressing issues emerging from a rapidly changing market environment. Perform all duties in accordance with the company’s policies and procedures, all US state and federal laws and regulations, where in the company operates. The target pay for this position is $90,000 - $130,000 + Annual Bonus. Pay is based on job-related knowledge, skills, experience, and other relevant factors.

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.

Requirements

• Bachelor’s degree with a major in a quantitative field such as mathematics, physics, statistics, computer science or engineering. 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.
• Solid statistical foundation and proficiency in Python for large-scale data analysis; experience with machine-learning techniques and modern AI applications is highly desirable.
• Proven ability to juggle multiple ad-hoc priorities with diligence and speed.
• Highly motivated team player, quick learner, with excellent communication and organizational skills.
• This is a hybrid schedule working in Greenwich, CT.

Nice-to-haves

• Working knowledge of mortgage products is a plus.
• Familiarity with big-data infrastructures and cloud-based development is a plus.
• Comfortable working in Linux and cloud environments; Git version control and SQL skills are beneficial.

Benefits

• Comprehensive healthcare plans for you and your family. Plus, a discretionary 401(k) match of 50% of the first 4% of pay contributed.
• Access to several fitness, restaurant, retail (and more!) discounts through our employee portal.
• Customized training programs to help you advance your career.
• Employee referral bonuses so you’ll get paid to help Carrington and Vylla grow.
• Educational Reimbursement.
• Carrington Charitable Foundation contributes to the community through causes that reflect the interests of Carrington Associates. For more information about Carrington Charitable Foundation, and the organizations and programs it supports through specific fundraising efforts, please visit: carringtoncf.org.