Join Goldman Sachs: Analyst - Loan Management & Due Diligence
At Goldman Sachs, we are looking for a motivated Analyst to join our Global Banking & Markets team in Dallas. The ideal candidate will play a key role in our US Residential Mortgage Trading Business, leveraging their data management and analytics skills while collaborating with our team to drive strategic reporting and automation initiatives.
Key Responsibilities
- Conduct data management, process uplifts, and strategic reporting for the US Residential Mortgage Trading Business.
- Collaborate with teammates in our Bangalore-based Data Analytics (DA) team on projects and strategic tasks.
- Implement quality control, data validation, and cleansing processes for both new and existing data sources.
- Identify and eliminate redundancies, reduce manual interventions, and enhance process efficiency through automation.
- Execute and improve data quality controls on monthly mortgage data from loan servicers.
- Engage with stakeholders across Loan Management to define and implement reporting and automation requirements.
- Work closely with global and regional teams to develop and maintain advanced reporting solutions.
- Translate business requirements into high-quality, on-time deliverables.
- Manage project timelines and completions for analytics, automation, and reporting deliverables.
- Coordinate with Engineering and other departments to define and drive enhancements to Engineering systems.
- Manage data dictionaries and large data stores.
- Create data quality control checks for internal databases and resolve issues 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.
- Ability to organize and prioritize workload and manage multiple priorities.
- Solid analytical and logical mindset with attention to detail.
- Experience in data analysis, data modeling, structured/relational databases, or ETL processes.
- Working knowledge of SQL and interaction with structured data.
- Advanced Excel skills or ability to learn them.
- Strong academic background with a 4-year degree in engineering, analytics, finance, or a related field.
Preferred Qualifications
- Knowledge of Python.
- Experience with data transformation and reporting tools like Tableau and Alteryx, or the ability to build reports and data visualizations.
- Expertise in structured data management and governance, data transformation processes, and efficient data modeling principles.
- Experience in mortgage banking or the financial industry.
- Understanding of structured finance, collateralized lending, fixed income, or related financial modeling concepts.
About Goldman Sachs
Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world. Our dedication to our clients, shareholders, and communities is unwavering.
At Goldman Sachs, we believe that who you are makes you better at what you do. We are committed to fostering and advancing diversity and inclusion by ensuring every individual within our firm has numerous opportunities to grow professionally and personally. This includes training and development, firmwide networks, benefits, wellness programs, personal finance offerings, and mindfulness programs. Learn more about our culture, benefits, and opportunities at .
Goldman Sachs is an equal employment/affirmative action employer committed to diversity. We welcome applications from all qualified individuals and provide reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more at: .
© The Goldman Sachs Group, Inc., 2023. All rights reserved.