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Global Banking & Markets, Loan Management, Asset Secured Lending, Data Analytics, Associate - Dallas

Goldman Sachs

Goldman Sachs

Data Science
Dallas, TX, USA
Posted on Thursday, June 6, 2024

Job Description


  • Perform data management, process uplifts and strategic reporting initiatives for the Asset Secured Lending 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
  • Engage with stakeholders and team members across various GBM business lines 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


  • 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) with the ability to manage internal and external relationships.
  • Ability to organize and prioritize workload and deal with multiple priorities


  • Knowledge of Python
  • 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


At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

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 firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity