SKILLS / EXPERIENCE:
Team-oriented with a strong sense of ownership and accountability
1-3 years of experience in data analysis, data modeling, structured / relational databases or Extract-Transform-Load (ETL) processes
Proficient in SQL and / or interacting with structured data
Understanding of in industry standard data transformation and reporting tools such as Tableau and Alteryx, or ability to create/build reports and data visualizations
Must know or be able to learn Excel to an advanced level
Strong academic background - 4-year engineering, finance or background
Solid analytical/logical mindset and attention to detail
Strong communication skills (clear, concise, and confident)
Ability to organize and prioritize workload and deal with multiple priorities
GOOD TO HAVE:
Knowledge of Python
Expertise in structured data management and governance, including effective data transformation processes and efficient data modelling principles
Understanding of structured finance, collateralized lending, fixed income or related finance modeling concepts
Familiarity with structured loans collateralized by residential real estate, mortgages, and consumer products
Experience with structured product documentation such as credit agreements and master repurchase agreements
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