FinTech Data Scientist
Malvern, PA
Vanguard
FinTech Data Scientist
Supports Vanguard's mission of exploring FinTech technologies that could dramatically improve investment performance or make capital markets work better and fosters a culture of innovation. Identifies potential experiments with financial technology related to alternative data sources, predictive analytics, and machine learning. Executes experiments with increased complexity and is responsible for growing the organization's data science capabilities and tool sets through coaching other crew.
Core Responsibilities:
- Executes the strategic direction of FinTech program to implement new data strategies.
- Acquires structured and unstructured data and prepares it for analysis. Investigates, extracts, cleans, transforms, and manages data using a variety of approaches.
- Creates and maintains FinTech data architecture, software, and model libraries, and process routines.
- Conceptualizes, codes, and implements new analytic processes for FinTech using big data technologies.
- Uses statistical and machine learning applications to unearth insights in the investment landscape.
- Develops and optimizes process and data architectures, data preparation, and normalization processes, and feature engineering techniques.
- Explores developing financial technologies and data science techniques and machine learning applications.
- Continues to develop deep knowledge of financial markets and market structure changes in order to bring an informed perspective to current financial technology landscape.
- Establishes and maintains effective working relationships with other areas of Vanguard. Anticipates researchers, traders, and portfolio managers needs and ensures their satisfaction related to the services being provided.
Qualifications:
- Three plus years of experience in a technical or related financial subject area or combination of education and certifications.
- Undergraduate degree or equivalent combination of training and experience.
- Graduate degree in a quantitative subject area preferred.
Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.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.
Inclusion Statement
Vanguard’s continued commitment to diversity and inclusion 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Engineering Feature engineering FinTech Machine Learning Statistics Unstructured data
Perks/benefits: Career development
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