Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
Low-cost investing has distinguished Vanguard from the competition for more than four decades, but there are opportunities to serve our clients even better and differentiate ourselves even further within the financial services industry. Uncovering these opportunities starts with you.
Do you want to lead and execute deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making? You will help mentor and develop junior data scientists and analysts.
In This Role You Will:
Leads and executes analytic projects to provide insight into client needs and behavior, improving operating efficiencies supporting enterprise machine learning initiatives. Serves as the analytics expert on cross functional teams for large strategic initiatives.
Research new and innovative techniques and methods to solve machine learning problems, supporting strategic business goals.
Being able to drive and use stat-of-the-art machine learning techniques e.g.: deep learning, NLP, recommendation engines, fraud detection, temporal data mining, probabilistic inference, others.
Being able to work with a team of data scientist to carve our new research that supports ongoing and future analytical capabilities. Produces innovative solutions through the use of advanced data analytics from complex and high-dimensional datasets.
Prepares and delivers insight presentations and action recommendations. Communicates complex material in simple terms. Guides business partners on the interpretation, implications and use of analytic results.
Develops and applies domain knowledge of Vanguard’s businesses and data to shape the analytic road map.
Contributes to the growth of the analytic community. Mentors analysts.
Participates in special projects and performs other duties as the need arises.
Reimagine the investment experience
A World-class client experience is something that can only be defined by our clients. Leading the development and delivery of advanced, actionable analytic products and services you will work to uncover difficulties and challenges a client may face and how they may differ across product lines. Using advanced analytics approaches such as predictive and prescriptive modeling your goal will be to bring tangible and significant business impact on Vanguard’s businesses and clients to drive overall efficiency.
What it Takes
Minimum of five years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.
Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred. MS degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Operations Research, Physics, or other relevant scientific field. PhD degree preferred.
Deep understanding and experience building models using Machine Learning & Optimization methods such as: Linear/Non-Linear/Integer programming, Deep Learning, Random Forests, GBM, Hidden Markov Models, SVM, Regression (Generalized linear models), MLE, Time-series analysis, Signal Processing, Tree based models, Neural Networks.
Demonstrated industry experience applying the above methods to complex business problems thereby generating insights and providing best in class customer-driven solutions
Proven experience in managing and leading large complex projects, including (but not limited to) formulating the business and analytical problem, extracting, cleansing, and manipulating large, and diverse data sets, building descriptive, predictive and prescriptive solutions and deploying these solutions in the cloud and/or on premise systems
Demonstrated experience in communicating complex analytical solutions, data relationships and results and their business impacts to multiple business partners and stakeholders, through superior data visualization and storytelling skills.
Strong proficiency in programming skills, such as Python, R, Spark, Scala, Tensorflow, CAFFE, familiarity with word embeddings, scikit learn, Graph databases, AWS and cloud environments.