招聘
About Trammell Crow Company
Trammell Crow Company (TCC) is one of the nation's largest commercial real estate developers and owners, with a decades-long track record of delivering institutional-quality projects across industrial, office, and mixed-use asset classes. Our technology team is at the forefront of transforming how TCC underwrites, manages, and optimizes its portfolio — and this role sits at the center of that transformation.
About the Role
This is not a traditional systems analyst role. As a Senior Analyst, Underwriting Systems & Portfolio Intelligence, you will sit at the intersection of real estate finance, data engineering, and applied AI — serving as a force multiplier for TCC's acquisitions, development, and asset management teams.
You will own the systems, workflows, and analytical tooling that power how TCC evaluates deals and manages its portfolio. That means you'll be as comfortable in a financial model as you are in a data pipeline — and you'll be the person who makes both smarter.
This role reports into TCC's Head of Technology and works in close partnership with TCC’s deal and portfolio management teams and CBRE's broader technology organization.
What You'll Do
Underwriting Systems & Automation
- Own and continuously improve TCC's underwriting technology stack.
- Identify and eliminate manual, repetitive steps in the deal underwriting process through automation — reducing cycle time from initial screening to investment committee submission.
- Build and maintain standardized underwriting template, data intake workflows, and approval routing logic that scale across markets and product types.
- Partner with deal teams to translate deal logic into repeatable, auditable system processes.
Portfolio Management Intelligence
- Support the evolution of portfolio management workflows that are on Excel environments and integrate them with a centralized portfolio management application.
- Develop dashboards, reporting tools, and data feeds that give the portfolio management team real-time visibility into portfolio performance, risk exposure, and capital deployment.
- Maintain and improve data integrity across portfolio systems, ensuring consistency between operational platforms and reporting layers.
AI & Deal Intelligence
- Apply AI and machine learning concepts to help TCC distinguish signal from noise in deal evaluation — surfacing patterns in market data, comp sets, rent trends, and project economics that inform better investment decisions.
- Work with internal and external data sources (Co Star, IM Insights Research Hub, Snowflake) to build deal-scoring models and early warning indicators for underperforming assets.
- Partner with TCC's Head of Technology to evaluate, pilot, and operationalize AI tools that accelerate underwriting accuracy and reduce analyst time on low-value tasks.
- Document and maintain AI-augmented workflows with appropriate governance, auditability, and human-in-the-loop checkpoints.
Stakeholder Partnership & Change Enablement
- Serve as the primary technology partner for TCC acquisitions and portfolio management teams — translating business needs into system requirements and technical solutions into plain language.
- Lead end-user training, documentation, and adoption efforts for new tools and workflows.
- Act as a liaison between TCC business teams and CBRE IT and external vendors.
- Log, prioritize, and resolve system issues in partnership with vendors and internal support teams.
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关于CBRE

CBRE
PublicCBRE Group, Inc. is an American commercial real estate services and investment firm, with corporate headquarters in Dallas, Texas, and global financial headquarters at Lever House in Midtown Manhattan.
10,001+
员工数
Dallas
总部位置
$12.8B
企业估值
评价
2.6
4条评价
工作生活平衡
2.0
薪酬
3.5
企业文化
1.8
职业发展
2.5
管理层
1.5
25%
推荐给朋友
优点
Competitive salary offers
Quick application response time
Good interview process
缺点
Toxic work culture
Lack of support for diversity
Offers rescinded after acceptance
薪资范围
27个数据点
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Junior/L3 · Business Analyst
1份报告
$78,529
年薪总额
基本工资
$68,286
股票
-
奖金
-
$78,529
$78,529
面试经验
5次面试
难度
3.2
/ 5
时长
14-28周
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Case Study/Presentation
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Case Study
Past Experience
Technical Knowledge
Culture Fit
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