招聘
Job Description
Title- Senior Analyst:
Job Title: ‘Senior Analyst’ SME (Subject Matter Expert)
-
Agency Pre-screening and ICM: Screening/underwriting of Agency Loans (Fannie Mae), deriving Underwriting Value, using financial spreading, rent roll analysis and creation of Investment Committee Memo.
-
Non-Agency/Deal Pre-screening and ICM: Screening/underwriting of Non-Agency Loans, deriving Underwriting Value, using financial spreading, rent roll analysis and creation of ICM.
-
Loan Portfolio Stratification and ICM: Stratification of portfolio of loans belonging to various asset classes, assessing their risk exposure using their property level, loan level and performance metrices.
-
Extracting market and asset specific statistics from various data sources (for eg: Co Star or similar platforms) for the pipeline deals which are shortlisted for screening or underwriting.
-
Comparing the key deal metrics which includes Occupancy, Cap Rates, Debt Yield, Cash Flow, NOI etc. of the pipeline deals with existing portfolio.
-
Analyzing property pictures & map for location-based insights, preparing the capital stack (i.e., Equity vs. Debt) and presenting them in an excel and ppt format.
-
Collecting and preparing sales and rent comparable of the target originations with the market data sourced through broker reports or web-based applications.
-
Studying the demographics to understand the unit mixes, interpreting all sources of incomes & expenses through review of cash flows, ascertaining vacancy rates & rental income using rent rolls and using NOI to calculate key liquidity ratios i.e., DSCR, DY etc.
-
Creating investment memorandums with the deal team ahead of investment committee.
-
Conducting due diligence prior to closing of deal as per closing checklist.
-
Data input in pipeline tool (i.e., Deal Path, Loan Tapes) as and when required.
Essential Skills & Experience:
- Must have a good knowledge of US Real Estate Industry and Market in underwriting the CML/CRE loans across all the sectors; along with hand on experience in underwriting the Multifamily agency (Freddie & Fannie) loans.
- Should be aware of the US taxes for different States and Counties; along with knowledge of various rent/sales comparable to be used in accordance with subject properties.
- Must be well versed with concepts of Cap Rate/Index rate/ LTC/LTV/Spreads/Cap Stack, Implied vs Cash Equity and various loan specific terminologies. In addition, should know the implications and effect of UW In-place and Mark to Market assumptions using property financials and its demographics through broker provided offering memorandum.
- Candidate should have the knowledge of US Market and Sub-Market to understand the deal’s demographics and its impact on the subject property.
- Hand on experience and proficient in preparing the dynamic financial models in MS excel.
- Master’s degree – Major in Finance or Banking and Capital Markets, CFA designation a plus.
- Exceptional quantitative aptitude and skill set with a mastery of Microsoft Office applications.
- Ability to manage multiple priorities in a fast paced, fluid environment.
- Previous background with real estate lending required with Debt Underwriting’ in real estate preferable.
- Rigorous analytical mindset with a high level of intellectual curiosity and excellent problem-solving skills.
- Acute focus on attention to detail, accuracy, and data validation.
- Effective communication skills (listening, verbal, and written).
- Excellent interpersonal and teamwork skills.
- Sound judgment and discretion.
- Strong initiative, energy and confidence completing assignments with limited supervision.
总浏览量
0
申请点击数
0
模拟申请者数
0
收藏
0
相似职位

Senior Data Scientist
Toast · Bangalore , Karnataka , India

I&F Decision Sci Practitioner Sr Analyst
Accenture · Bengaluru

Sr Advanced Data Scientist
Honeywell · Bengaluru, Karnataka, India, IN

Senior Data Scientist
eBay · Bengaluru, India

Senior Quantitative Analytics Specialist
Wells Fargo · Bengaluru, India
关于Wipro

Wipro
PublicA technology services and consulting company focused on building solutions that address clients' digital transformation needs.
10,001+
员工数
Bengaluru
总部位置
$8.5B
企业估值
评价
3.1
10条评价
工作生活平衡
3.5
薪酬
2.3
企业文化
3.8
职业发展
2.5
管理层
2.2
45%
推荐给朋友
优点
Good training and learning opportunities
Flexible work hours and remote options
Supportive colleagues and teamwork
缺点
Low and uncompetitive compensation
Limited growth and career advancement opportunities
Poor management direction and support
薪资范围
41,395个数据点
Intern
Intern · Data Scientist
0份报告
$119,586
年薪总额
基本工资
-
股票
-
奖金
-
$101,000
$138,000
面试经验
5次面试
难度
2.0
/ 5
时长
14-28周
录用率
40%
体验
正面 100%
中性 0%
负面 0%
面试流程
1
Application Review
2
Online Assessment/Aptitude Test
3
Technical Interview
4
HR Interview
5
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
新闻动态
Wipro share buyback, target prices: What Jefferies, Morgan Stanley, others say after soft Q1 guidance - MSN
MSN
News
·
3d ago
Wipro attrition falls to 13.8%, headcount inches up by 136 - The Economic Times
The Economic Times
News
·
4d ago
Wipro shares slide up to 4% after weak Q4, muted outlook dents sentiment - The Times of India
The Times of India
News
·
4d ago
Indian shares rise on peace deal hopes; Wipro, HDFC Life cap gains - TradingView — Track All Markets
TradingView — Track All Markets
News
·
4d ago