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GBM - Private GBM – Loan Management - Automation - Bangalore
Bengaluru, Karnataka, India
·
On-site
·
Full-time
·
6d ago
Global Banking & Markets Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.
Division
The Loan Management group resides within the Global Markets Division and supports the Mortgage Trading Desk. Trade Management group within Loan Management is responsible for directing and facilitating due diligence (at both the deal and asset levels) for the acquisition and sale/securitization of residential loan portfolios and ensuring completion of transaction closing requirements. Post trade Loan management is also responsible for the asset management and facilitation of the portfolio’s strategies including interacting with third party vendors to manage assets.
Responsibilities
- AI/Automation Project Development & Delivery:
- Own the end-to-end development and delivery of AI/Automation projects, from conceptualization and prototyping to deployment and ongoing maintenance.
- Utilize expert-level Python programming skills to build, test, and optimize AI algorithms, automation scripts, and data processing pipelines.
- Design, develop, and maintain robust and scalable APIs/Automations to facilitate seamless integration of AI models and automated processes with existing systems.
- Manage code repositories and collaborate effectively with team members using Git and other version control systems.
Data Management & Reporting:
- Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes, ensuring data integrity and availability for AI models.
- Provide management and oversight of mortgage data, including data analysis and data validation.
- Fulfill ad hoc data requests and develop regulatory and business-critical reporting through automated toolkits.
Process Optimization & Automation:
- Identify processes suitable for automation, then streamline and automate them using various automation tools.
- Coordinate with internal business functions to develop and enhance processes through automation initiatives.
- Communicate and coordinate with various production groups to increase efficiencies via process automation.
- Collaboration, Communication & Documentation:
- Collaborate with cross-functional teams, including business stakeholders, other engineers, to understand requirements and deliver impactful solutions.
- Communicate complex technical concepts and project progress effectively to both technical and non-technical audiences.
- Create comprehensive and clear technical documentation for all developed solutions, APIs, codebases, and processes.
Industry Knowledge & Continuous Improvement:
- Stay informed about the latest advancements, market trends, and best practices in AI, machine learning, and automation, particularly within the financial or mortgage industry.
- Project Management:
- Provide project management for initiatives driven by the team.
- (Good to have): Explore and implement solutions using Microsoft Power Platform tools such as Power Automate and Power Apps to streamline business processes.
- Professional Ethics: Adherence to high ethical standards and best practices.
Skills/Experience
Core Technical Proficiency:
- AI/ML Development: End-to-end experience in building, deploying, and maintaining AI/Machine Learning projects.
- Programming: Expert-level Python for AI algorithms, automation scripts, and data pipelines.
- API Development: Designing and implementing robust RESTful APIs for system integration.
- Version Control: Proficient in Git for collaborative code management.
- Database & ETL: Strong SQL skills for data manipulation, querying, and RDBMS (SQL Server/Sybase ASE preferred). Experience with ETL processes and data pipeline development.
Data & Domain Knowledge:
- Data Analysis: Expertise in data analysis, MIS, and data modeling.
- Mortgage Industry: Understanding of mortgage data structures, business processes, and financial industry context.
• AI Market Trends: Knowledge of current AI advancements and applications.
Automation & Process Optimization:
• Process Automation: Identifying, streamlining, and automating business processes using various tools.
• Power Platform (Good to have): Familiarity with Power Automate and Power Apps for business process automation.
Professional & Interpersonal Skills:
- Communication: Excellent written and verbal communication, capable of articulating complex technical concepts to diverse audiences.
- Documentation: Strong ability to create comprehensive technical documentation.
- Analytical Thinking: Solid analytical/logical mindset and attention to detail.
- Collaboration: Effective teamwork with cross-functional teams and stakeholders.
- Project Management: Ability to manage and drive team initiatives.
About Goldman Sach s
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 © The Goldman Sachs Group, Inc., 2024. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer
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About Goldman Sachs

Goldman Sachs
PublicGoldman Sachs is a multinational investment bank and financial services company providing investment banking, securities, and investment management services. The firm serves corporations, financial institutions, governments, and individuals worldwide.
45,000+
Employees
Lower Manhattan
Headquarters
Reviews
2.6
10 reviews
Work Life Balance
1.8
Compensation
4.2
Culture
2.1
Career
2.9
Management
2.0
25%
Recommend to a Friend
Pros
High compensation and competitive salaries
Talented coworkers and good teamwork
Prestigious work environment
Cons
Poor work-life balance and long hours (70+ weekly)
Toxic and cutthroat competitive culture
High stress and burnout risk
Salary Ranges
21,066 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
6,923 reports
$112,993
total / year
Base
$97,759
Stock
-
Bonus
$15,234
$77,583
$166,892
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 60%
Negative 40%
Interview Process
1
Application Review
2
Phone Screen/HireVue Video Interview
3
Superday/Panel Interview
4
Final Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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