In today’s world data and data analytics is critical to all investment systems supporting front, middle and back office. In this role you will be working as part of a full stack team that supports Vanguard’s Quantitative Equity Group’s (QEG) cloud enabled investment research capabilities, including signal generation, optimized back testing capabilities, proprietary software packages, and data and analytics platforms. These platforms are used in the portfolio management of QEG’s active, factor and alternate strategy funds. You will also learn how the global investment industry and primary market trading works while working with complex and modern technologies in a truly global organization. If you are looking for a challenge and want hands-on experience with exciting, cloud technologies and AWS services as well as work closely with highly talented IT individuals, business partners to build and increase investment acumen, this is the job for you.
We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud. In this role, you will work within a full stack team alongside our Business Partners and Product Owner and an extremely motivated team of developers committed to working in an Agile environment. You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production. A passion for mentoring and coaching others is highly desirable. You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks. Ideal candidate will have a strong focus on delivering code that is observable, resilient, and secure.

REQUIRED SKILL SET:

• Highly Skilled in Python and familiarity with libraries and frameworks TensorFlow, PyTorch, Hugging Face Transformers, etc.
• Proven experience designing, develop, and implement machine learning models with a focus on NLP and LLM applications. Extensive experience with NLP techniques and tools such as tokenization, named entity recognition, sentiment analysis, etc.
• Experience with performing data preprocessing, feature engineering, and model training on large datasets.
• Experience with Fine-tune and optimizing LLMs such as GPT, BERT, or similar architectures for specific use cases.
• Hands-on experience with LLMs like GPT, Llama, BERT or similar models.
• Experience building & supporting AWS architecture and using AWS services.
• At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skills.
• Familiarity with Agile Development principles
• Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
• Experience with software engineering tools, such as Eclipse, Git, and others.
• Able to write clean, maintainable code, and read code created by others.
• Highly collaborative, fast learner, willing to jump in and help wherever needed.
• Enthusiasm for learning and experimenting with new technologies, tools, and processes.

Please refer the Job description for details