RESPONSIBILIITES :
- Perform data management, process uplifts and strategic reporting initiatives for the US Residential Mortgage Trading Business in the US-based Data Analytics (DA) Team
- Partner with teammates in the Bangalore-based DA team on projects and strategic work
- Apply quality control, data validation, and data cleansing processes to new and existing data sources
- Identify and remove redundancies, reduce manual interventions and improve process efficiency effectiveness through automation, using various tools
- Execute and enhance data quality controls on monthly mortgage data received from loan servicers
- Engage with stakeholders and team members across Loan Management to understand, define and implement their reporting and automation requirements
- Work closely with global and regional teams to architect, develop, and maintain advanced reporting solutions
- Translate business requirements into tangible solution specifications and high quality, on time deliverables
- Manage project timelines and completions for committed analytics, automation and reporting deliverables
- Coordinate with Engineering and internal departments to understand business requirements and help define and drive enhancements to Engineering systems
- Manage data dictionaries and large data stores
- Manage and create data related quality control checks for internal databases and provide resolution through analytic research
- Fulfill ad hoc data requests
BASIC QUALIFICATIONS
- Team-oriented with a strong sense of ownership and accountability
- Strong communication skills (clear, concise, and confident) with the ability to manage internal and external relationships.
- Ability to organize and prioritize workload and deal with multiple priorities
- Solid analytical / logical mindset and attention to detail
- Experience in data analysis, data modeling, structured / relational databases or Extract-Transform-Load (ETL) processes
- Working knowledge of SQL and / or interacting with structured data
- Must know or be able to learn Excel to an advanced level
- Strong academic background - 4-year engineering, analytics, finance or similar background
PREFFERED QUALIFICATIONS
- Knowledge of Python
- Understanding of in industry standard data transformation and reporting tools such as Tableau and Alteryx, or ability to create / build reports and data visualizations
- Expertise in structured data management and governance, including effective data transformation processes and efficient data modelling principles
- Mortgage banking or other financial industry experience
- Understanding of structured finance, collateralized lending, fixed income or related finance modeling concepts
ABOUT GOLDMAN SACHS
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