Global Banking & Markets, CSG, Data Analytics, ...

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 SKILLS / EXPERIENCE: 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 GOOD TO HAVE: 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 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. Were 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: © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. SKILLS / EXPERIENCE: 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