SFL Engineering - Associate

What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Structured Finance & Lending (SFL)Engineering Team is a part of Capital Solutions Group (CSG) within Global Markets Division (GBM) is responsible for designing, developing and supporting applications for Structured Lending Businesses and Clients. Our focus has been to create lending platform which covers a wide spectrum of asset classes in Asset Secured Lending business. This role offers a unique opportunity to work with the lending businesses in GBM to deliver solutions using latest technology stack while learning finance. Be at the forefront of innovation by integrating AI into our solutions and directly improving business efficiency.

Responsibilities

• Design and implement backend infrastructure and APIs.
• Write high quality code that is robust, readable and scales.
• Possess the drive to dive deep, thrive and progress even in ambiguous situations.
• Encourage and support knowledge sharing within team and external groups.
• Work in an agile environment focused on the most important deliverable for our clients.

Required Qualifications

• 3+ years of hands-on experience in Python
• 2+ years in NoSQL databases like MongoDB or ElasticSearch
• 2+ years in Caching technologies like Redis or Memcached
• 1+ years in Streaming technologies like Kafka or RabbitMQ
• Bachelor s Degree in Computer Science or related field with 3+ years of work experience, or Masters Degree with more than 3+ year work experience in Software Development.
• Strong Computer Science fundamentals in Data Structures, Algorithms, Complexity Analysis, Object-Oriented Design and Designing Large Scale Data-Intensive Applications.
• Excellent Analytical and Communication skills including experience speaking to technical and business audiences and working globally.

Preferred Qualifications

• Experience in Python, Django or Flask frameworks.
• Proficiency in Linux, Bash, JSON and NoSQL.
• Knowledge of Loan lifecycle.
• Experience with cloud computing systems