Real Estate Data & Analytics Analyst

FirstKey Mortgage, LLC; New York (NY); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

Annual discretionary bonus

Comprehensive benefits package

Job summary

A leading mortgage firm in New York is seeking an entry-level Analyst to contribute to its Residential Real Estate strategy. You will analyze data, create reports, and support research projects while collaborating with cross-functional teams. Ideal candidates are those graduating soon or with up to 2 years of experience in relevant fields, proficient in Python and SQL. This role offers a base salary of $100,000 to $125,000, along with bonuses and benefits.

Qualifications

• 0-2 years of work experience or expecting to graduate in December 2025 / May 2026.
• Experience with Python, SQL, and Git is important.
• Ability to manipulate and summarize large datasets is required.

Responsibilities

• Analyze data related to residential real estate to inform investment decisions.
• Create data visualizations using PowerPoint, Python, Tableau, PowerBI.
• Manage end-to-end project delivery and collaborate with team members.

Skills

Python

SQL

Data Analysis

Communication

Education

Degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics

Tools

Azure

Snowflake

PowerBI

Job description

FirstKey Mortgage, LLC provided pay range

This range is provided by FirstKey Mortgage, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $125,000.00/yr

Direct message the job poster from FirstKey Mortgage, LLC

FirstKey Mortgage, LLC ("FKM") is one of the world’s leading private label securitization and asset management firms. We are a boutique financial services company with a primary focus on the buying and securitizing of residential mortgage loans and other consumer receivables. Since inception FKM has excelled in acquiring, securitizing and managing real estate and other related assets in the U.S. and Europe.

Established in 2013, FKM is a portfolio company of Cerberus Capital Management and has participated on over $80+ billion rated securitization transactions across 85 bespoke ABS/MBS deals globally.

FKM employs approximately 45 mortgage banking professionals and is headquartered at 900 Third Avenue in midtown Manhattan. Our officers and directors have an average of 20+ years of industry experience.

FKM strives for business excellence and superior execution with the following critical functions:

• Managing the asset bidding and asset acquisition processes
• Efficient asset document review using machine learning and optical character recognition
• Vetting of assets for any issues with lending laws, taxes, or underlying collateral value
• Payment collection, surveillance, and loss mitigation once the asset is purchased
• Securitization of loans into bonds and marketing these assets to institutional investors

Job Description and Responsibilities

As an Analyst at FirstKey Mortgage, you will help the team expand its analytic and modeling capabilities across all aspects of Cerberus’ Residential Real Estate strategy, from analyzing hard asset and capital markets transactions to supporting operational excellence. Using the team’s tailored data, you will be expected to create reports, model asset performance, and support research projects. You will partner directly with portfolio managers, data scientists, and leaders in our proprietary property management platform to build and execute on investment and operational strategies that create value for clients.

• Data Analysis Expertise: Analyze structured and unstructured data related to residential real estate and property management operations to uncover and display insights that inform investment decisions.
• UI and Presentation Design: Create and support data visualizations via PowerPoint, Python, Tableau, PowerBI.
• Strategic Problem Translation: Skillfully translate business scenarios and investment ideas into succinct data problems by identifying and analyzing key drivers. Seamlessly align business objectives with appropriate cost functions, demonstrating an acute understanding of available data nuances.
• End-to-End Project Ownership: Manage the end-to-end delivery of success criteria, data, algorithms, statistical models, and reporting tools. You will be expected to engage from project inception and work with relevant parties to collect, analyze, and output analysis / models for broad consumption. Work collaboratively within cross‑functional teams to ensure timely and high-quality deliverables. Your adeptness will ensure efficient problem‑solving and the realization of desired outcomes.
• Financial Acumen Development: Demonstrate a proactive approach to expanding knowledge in investing and real estate fundamentals, leveraging analytical skills to explore market trends and financial concepts.
• IT Stack Optimization: Basic understanding of IT stack to help design, evaluate, and optimize technology solutions including infrastructure, networking, applications, and security to ensure scalability, performance, and alignment with business objectives. Work closely with IT teams to set up new system connections such as Snowflake, APIs, MCPs, etc.
• Autonomous Multitasking: Exhibit self-reliance and autonomy while remaining deeply engaged across multiple concurrent projects, showcasing your ability to thrive in a dynamic environment.
• Team Synergy: Collaborate seamlessly with fellow team members, lending your skills to group projects and promoting a cohesive and productive team dynamic.
• Flexibility and Initiative: Embrace the opportunity to tackle ad‑hoc projects, showcasing your adaptability and proactive approach in addressing unforeseen challenges. Interest in AI and proactive exploration of new analytical tools a plus.

Qualifications

• 0-2 years of work experience or planning to graduate in December 2025 / May 2026 with a degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics, or related fields
• Experience with Python, SQL, Git
• Experience with Azure, Snowflake, PowerBI, Fabric a plus. Otherwise, can learn in the role
• Demonstrated ability to manipulate and summarize large datasets
• Highly motivated with excellent attention to detail and organizational skills
• Effective communication skills and ability to work within a team

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by FKM in its sole discretion.

Compensation

The base salary for this position is expected to be between $100,000 and $125,000 annually. The base salary offered to the chosen candidate will be commensurate with a candidate’s relevant experience and other qualifications for the position, as determined by FKM in its sole discretion. In addition to the base salary, this position is eligible for an annual discretionary bonus and a comprehensive benefits package.

Seniority level

Entry level

Employment type

Full‑time

Job function

General Business