Senior Analyst

• Extracting market and asset specific statistics from various data sources (for eg: CoStar 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. , DealPath, 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.