Analyst – Software Engineer

Analyst – Software Engineer

Goldman Sachs is Hiring | Analyst – Software Engineer 🚀

Goldman Sachs is hiring for the role of Analyst – Software Engineer. This is a great chance to join the Control, Finance & Operating (CF&O) Artificial Intelligence (AI) Strategies team. If you’re passionate about AI and want to build solutions that make real business impact, this job is for you.

About Goldman Sachs

Goldman Sachs is a top global investment bank and financial services company. It was founded in 1869 and is based in New York. The firm operates in major cities around the world. It offers services in investment banking, securities, investment management, and more.

The company helps businesses, governments, and individuals with financial services. Goldman Sachs values innovation, integrity, and teamwork. It is also known for its strong commitment to diversity and inclusion.

Job Role: Analyst – Software Engineer

The open position is for an Analyst – Software Engineer within the CF&O AI Strategies team. This role involves working on advanced AI models, including Generative AI (GenAI), and applying them to real business challenges.

Focus Keyword: Goldman Sachs is Hiring

“Goldman Sachs is Hiring” is not just a headline. It’s an open door to one of the most dynamic tech roles in the finance industry.

Job Description

As an Analyst – Software Engineer, your job will include designing, developing, and deploying AI and GenAI solutions. You will work with different teams like Risk, Controllers, and Legal to improve operations using AI models.

Key Responsibilities:

• Create and apply AI and GenAI models for domains like Risk, Controllers, and Legal.
• Work with stakeholders to identify high-impact AI use cases.
• Use advanced GenAI techniques like Retrieval-Augmented Generation (RAG) and AI agents.
• Partner with business and engineering teams to integrate AI into daily operations.
• Evaluate model performance and adjust for better results.
• Stay current with the latest AI and GenAI technologies.

Qualifications and Skills Required

• A Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Engineering, or related fields.
• Proven experience in AI and GenAI development.
• Expertise in techniques like RAG, AI agents, etc.
• Strong programming skills, especially in Python.
• Knowledge of frameworks like TensorFlow and PyTorch is a plus.
• Excellent problem-solving skills.
• Ability to work well with both tech and non-tech teams.
• Good communication skills.
• A passion for AI and innovation.

Why Choose Goldman Sachs?

Goldman Sachs is hiring talented people who want to make an impact. Here’s what you get:

• A chance to work on strategic AI initiatives.
• Exposure to top-tier financial systems and global operations.
• Opportunities for growth and career development.
• Strong focus on inclusion and diversity.
• Access to world-class training and mentorship.

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Benefits at Goldman Sachs

• Competitive salary and bonus structure
• Healthcare benefits
• Retirement savings plan
• Personal and professional development programs
• Mental wellness and mindfulness initiatives

Goldman Sachs is Hiring: Apply Now

This is your moment. If you meet the above criteria and have a passion for AI and GenAI, don’t miss the chance. Goldman Sachs is hiring now.

Visit GS.com/careers to apply.

Top 10 Interview Questions and Answers

To help you prepare, here are the top 10 interview questions for this role, along with suggested answers.

1. What do you know about GenAI?

Answer: GenAI refers to Generative AI, which can generate text, images, code, etc. It includes models like GPT and uses methods like RAG for enhanced accuracy.

2. How have you used AI in a past project?

Answer: I developed a recommendation system using deep learning. I used TensorFlow and Python, improving the click-through rate by 30%.

3. What is Retrieval-Augmented Generation (RAG)?

Answer: RAG is a technique that uses a retriever model to find relevant data and a generator model to create outputs based on it. It improves context and accuracy.

4. How do you ensure an AI model remains accurate over time?

Answer: Regularly evaluate performance, retrain on updated data, and use monitoring tools to track drift and anomalies.

5. How do you collaborate with non-technical teams?

Answer: I simplify technical concepts, use visuals, and hold regular meetings to align on goals and progress.

6. Describe a time you solved a complex problem using Python.

Answer: I automated data cleaning for a large dataset using Python scripts, reducing processing time from hours to minutes.

7. What is the difference between supervised and unsupervised learning?

Answer: Supervised learning uses labeled data for training; unsupervised does not. The former is used for classification; the latter for clustering.

8. How do you choose the right AI model?

Answer: I consider the problem type, data size and quality, performance needs, and interpretability.

9. Have you worked with TensorFlow or PyTorch?

Answer: Yes, I’ve built neural networks with both. I prefer PyTorch for flexibility and TensorFlow for deployment.

10. Why do you want to work at Goldman Sachs?

Answer: I want to work where technology and finance intersect. Goldman Sachs offers a platform to build AI solutions that have real business impact.

Final Thoughts: Goldman Sachs is Hiring Now

This is an ideal role for anyone with experience in AI and software engineering. If you’re ready to work with advanced tech in a global company, act fast. Goldman Sachs is hiring and you could be the next to join their mission to innovate with AI.

Apply today and take the first step toward a future in AI innovation at Goldman Sachs.

Focus Keyword Recap: Goldman Sachs is Hiring

Apply Now