Qureos Mentor

RealPage Inc

<div>Overview:
<p>
The Senior Forecast Analyst, Business Unit Finance serves as the strategic finance partner to executive leadership and business unit leaders within a private equity&ndash;backed SaaS organization specializing in the multi-family housing industry. This role is responsible for driving financial performance, supporting value creation initiatives, and enabling scalable, profitable growth through disciplined planning, forecasting, and analysis. Operating in a PE-backed environment, this analyst brings a strong ownership mindset, a bias toward action, and a deep understanding of the financial levers that drive ARR &amp; EBITDA growth, cash flow, and enterprise value.</p>
Responsibilities:
<div><p>
Strategic Finance &amp; Business Partnership</p></div><div><ul><li>Act as the primary finance partner to Insurance Business Unit leadership, supporting strategy, investment decisions, and operational execution by framing decisions, risks, and trade-offs, not just presenting data</li><li>Translate business and PE value-creation strategies into actionable financial plans and performance targets</li><li>Lead development of forward-looking &ldquo;what-if&rdquo; scenarios to evaluate strategic choices, risks, and growth opportunities across the business unit</li></ul></div><div><ul><li>Build flexible financial and operational models that allow executives to simulate outcomes under varying assumptions (market conditions, pricing, investments, cost structures)</li><li>Act as a thought partner, helping leaders clarify priorities, define success measures, and align on strategic direction</li></ul></div><p></p><div><p><br>
Financial Planning, Forecasting &amp; Analysis</p></div><div><ul><li>Lead annual budgeting, rolling forecasts, and long-range planning for assigned business units in a PE operating cadence</li><li>Own and enhance SaaS financial models, including ARR, MRR, churn, CAC, LTV, gross margin, and unit economics</li><li>Analyze performance drivers, variances, and trends with a focus on EBITDA, cash flow, and scalability</li><li>Develop dashboards and reporting to monitor financial and operational KPIs aligned with PE objectives</li></ul><p></p><div><p><br>
SaaS &amp; Multi-Family Industry Economics</p></div><div><ul><li>Partner with Product, Sales, and Revenue Operations on pricing, packaging, and monetization strategies</li><li>Evaluate customer segmentation, retention, and lifetime value across multi-family housing portfolios</li><li>Support deal structuring, contract analysis, and revenue recognition considerations</li><li>Incorporate industry-specific dynamics such as unit-based pricing models, property counts, seasonality, and regulatory considerations</li></ul></div><p></p><div><p><br>
Operational Excellence &amp; Value Creation</p></div><div><ul><li>Drive financial rigor, accountability, and scalable processes across the business unit</li><li>Partner closely with accounting on close processes, accruals, and financial accuracy</li><li>Support M&amp;A activity, integrations, and post-acquisition performance tracking as applicable</li><li>Identify and execute opportunities for margin expansion, cost efficiency, and operational leverage</li></ul></div><p></p><div><p><br>
Leadership &amp; Cross-Functional Collaboration</p></div><div><ul><li>Collaborate cross-functionally with Sales, Product, Marketing, Customer Success, Operations and Accounting</li><li>Influence effectively in a fast-paced, results-oriented PE-backed environment</li></ul></div></div><br>
<p></p>
Qualifications:
<div><div>
Bachelor&rsquo;s degree in Finance, Accounting, Economics, or related field;<br>
<ul><li>5+ years of progressive finance experience, including strategic FP&amp;A and business partnership roles</li><li>2+ years of experience in SaaS or recurring-revenue business models</li><li>Proven ability to support senior executives and influence business strategy</li><li>Deep understanding of SaaS metrics and unit economics</li><li>Advanced financial modeling, forecasting, and analytical skills</li><li>Strong executive-level communication and presentation capabilities</li></ul></div></div><p></p><div><p><br>
Preferred</p></div><div><ul><li>Experience in PropTech, real estate technology, the multi-family housing industry, Insurance or Payment Processing</li><li>Prior experience supporting M&amp;A, integrations, or value-creation initiatives</li></ul></div><p></p><div><p><br>
KNOWLEDGE/SKILLS/ABILITIES (List the concepts, capabilities developed through training, and innate traits and talents that a person brings to a task or situation)</p></div><div><p>
Required:</p></div><p></p><div><p><br>
Key Competencies</p></div><div><ul><li>Strategic thinker with strong systems and scenario-planning mindset</li><li>Ability to operate effectively in ambiguous, unstructured environments</li><li>Skilled in hypothesis-driven problem solving and structured thinking</li><li>Strong executive presence and influence without authority</li><li>Comfort making decisions and recommendations with incomplete data</li></ul><p></p><p><br>
#LI-AS2</p><p>
#LI-REMOTE</p></div><br>
<p></p>
Pay Range: USD $85,200.00 - USD $145,200.00 /Yr.</div>

Senior Forecast Analyst

<div>Overview:
<p>
We are looking for a Staff Engineer to own and evolve our financial data integration and ML classification platform. This system ingests hundreds of variations of real estate financial reports &mdash; trial balances, rent rolls, budgets, forecasts, aged receivables &mdash; from property management companies, automatically detects their format, classifies their structure using ML models, and transforms them into normalized data for downstream analytics.</p><p>
You will be the primary technical lead across two critical systems: a document parsing engine handling 280+ specialized ETL processors and a dynamic pipeline orchestration platform that uses ML-predicted field mappings to automate data extraction at scale. This role demands breadth &mdash; you will build ML models, maintain production data pipelines, design database schemas, and make architectural decisions independently. You will also mentor and manage one direct report.</p>
Responsibilities:
<ul><li><b>ML Model Development &amp; Deployment &mdash; </b>Build, train, and deploy classification models (currently served via Wallaroo) that predict financial field/table mappings from document headers. Extend existing BERT-based question-answering models used for extracting structured data from free-text property descriptions.
</li><li><b>Pipeline Platform &mdash; </b>Maintain and extend the configuration-driven orchestration system that matches incoming files to processing pipelines, executes dynamic conditionals, and writes standardized output to downstream templates.
</li><li><b>ETL Engine &mdash; </b>Evolve the parsing library that handles complex Excel workbooks with nested headers, multi-tab structures, merged cells, and varied accounting system formats (ARES, GIC, DCS).
</li><li><b>Data Quality &amp; Reliability &mdash; </b>Improve prediction accuracy, expand audit logging, and ensure processing integrity across clients and document types.
</li><li><b>Architecture &amp; Technical Leadership &mdash; </b>Drive technical decisions on model serving infrastructure, database schema design, and API integration patterns with RealPage's Data Management Gateway (DMG). Provide mentorship and technical guidance to your direct report.</li></ul>
Qualifications:
<ul><li>5+ years Python development with production ML systems</li><li>
Strong experience with NLP / text classification &mdash; specifically training and fine-tuning transformer models (Hugging Face, TensorFlow) for document understanding tasks
</li><li>Deep proficiency with pandas, NumPy, SQLAlchemy, and PostgreSQL
</li><li>Experience building and maintaining ETL pipelines that process messy, semi-structured data (Excel, CSV) at scale
</li><li>Familiarity with ML model serving platforms (Wallaroo, SageMaker, Vertex AI, or similar) including OAuth2-based inference APIs
</li><li>Comfort operating as a technical lead &mdash; triaging bugs, shipping features, making architectural calls independently, and mentoring junior engineers
</li><li>Demonstrated ability to work across the full stack of a data platform: from raw file ingestion through model inference to API integration</li></ul><p><b>
Preferred</b></p><ul><li>
Domain experience in real estate finance, property management, or accounting data (chart of accounts, trial balances, rent rolls)</li><li>
Experience with SFTP-based file processing workflows and Paramiko</li><li>
Familiarity with dynamic code generation / evaluation patterns for configurable data transformations</li><li>
Background in document parsing / OCR / intelligent document processing</li><li>
Experience with SSH-tunneled database connections and multi-environment deployments</li><li>
Prior experience mentoring or leading a small team</li></ul><p><b>
Tech Stack</b></p><ul><li>
Python</li><li>
Pandas</li><li>
TensorFlow
</li><li>Hugging Face Transformers
</li><li>PostgreSQL</li><li>
SQLAlchemy</li><li>
Wallaroo &middot;</li><li>
Paramiko/SFTP</li><li>
openpyxl/xlrd
</li><li>REST APIs
</li><li>OAuth2/JWT</li></ul><p><b>
Why This Role</b></p><p>
You will have high autonomy over a system that directly impacts how financial data flows through RealPage's platform. The ML models you build will reduce manual data mapping for enterprise property management clients, and the pipelines you maintain process real financial documents daily. This is not a research role &mdash; it is applied ML engineering where your models ship to production and your code runs against real client data. As a Staff Engineer, you will shape the technical direction of the platform and have meaningful influence over how the team grows.</p><div></div><div><b><i><br>
SALARY AND BENEFITS</i></b></div><ul><li><i>
RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:</i></li><li><i>
Health, dental, and vision insurance.</i></li><li><i>
Retirement savings plan with company match.</i></li><li><i>
Paid time off and holidays.</i></li><li><i>
Professional development opportunities.</i></li><li><i>
Performance-based bonus based on position.</i></li></ul><div><i>
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.</i></div><div></div><div><i><br>
Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.</i></div><br>
<p></p>
Pay Range: USD $107,200.00 - USD $182,600.00 /Yr.</div>

Machine Learning & Data Platform Engineer

Join RealPage Inc and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

RealPage Inc

About Company

Senior Forecast Analyst

Machine Learning & Data Platform Engineer