In today’s world, data and data analytics are 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, 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 and business partners to build and increase investment acumen, this is the job for you.
NLP Engineer, Senior Specialist
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 Owners 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. The 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 such as TensorFlow, PyTorch, Hugging Face Transformers, etc.
- Proven experience designing, developing, and implementing 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-tuning 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 and 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.
What it takes:
- Undergraduate degree in a related field or the equivalent combination of training and experience.
- Software Development experience.
- Strong written and oral communication skills.
- Strong, demonstrated analysis and problem-solving skills.
- Strong planning and organizational skills.
- Ability to implement instrumentation to gather business-specific metrics around consumer usage patterns.
About Vanguard
We are Vanguard. Together, we’re changing the way the world invests. For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so, can you.
We want to make success accessible to everyone. This is our opportunity. Let’s make it count.
Statement
Vanguard’s continued commitment to diversity is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.
When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.
Our core purpose:
To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
Special Factors
Sponsorship: Vanguard is not offering visa sponsorship for this position.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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