Data Analyst for Global Banking
4 weeks ago
About Goldman Sachs
At Goldman Sachs, we are committed to helping our clients, shareholders, and the communities we serve grow. Our investment banking, securities, and investment management expertise spans the full range of capital markets, industries, and asset classes.
Job Summary
We are seeking an experienced Data Analyst to support the Loan Management function within the Global Banking & Markets (GBM) Public Division. The Loan Management function supports the Mortgages and Structured Products business for GBM Public, which transacts in loans, derivatives, and securities across various mortgage-related products.
Key Responsibilities
- Manage and oversee trading and lending data for Mortgages and Structured Products, including data setup, database management, ETL, data validation, and quality control.
- Drive process automation by identifying redundancies, reducing manual interventions, and improving process efficiency for the trading and lending platforms.
- Develop strategic reporting for trading desks and asset management across relevant products and/or asset classes.
- Ensure the flow, accuracy, and completeness of data by partnering with Asset Management, Engineering, and Strats to understand business requirements and define strategic data models and systems.
- Liaise with Controllers, Compliance, Risk, and other divisions for regulatory and business-critical reporting through automated toolkits.
- Translate business requirements into tangible solution specifications and high-quality, on-time deliverables.
- Manage project timelines and completions for committed analytics, automation, and reporting.
- Manage data dictionaries and large data stores.
- Reconcile data discrepancies and perform data reconciliations between external vendors and internal databases through analytics and research.
- Fulfill ad-hoc data requests.
Requirements
- 1-3 years of experience in data analysis, data modeling, RDBMS databases, and ETL.
- Strong academic background - 4-year related engineering background with a minimum 3.0 GPA equivalent.
- Proficient in SQL and/or interacting with structured data.
- Understanding of industry-standard data transformation and reporting tools such as Tableau, Alteryx, or ability to create/build reports and data visualizations.
- Solid analytical/logical mindset and attention to detail.
- Strong communication skills (clear, concise, and confident) with the ability to manage internal and external relationships.
- Team-oriented with a strong sense of ownership and accountability.
- Must know or be able to learn Excel to an advanced level.
- Ability to prioritize workload and work with Technology to help drive data-smart solutions.
Preferred Qualifications
- Experience in Python programming.
- Understanding of databases, data models, and Extraction Transformation Load (ETL) processes.
- Mortgage banking or other financial industry experience.
- Understanding of structured finance, collateralized lending, fixed income, or related finance modeling concepts.
About Goldman Sachs
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm-wide networks to benefits, wellness, and personal finance offerings and mindfulness programs.
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