Core Responsibilities
1. Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
2. 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.
3. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
4. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
5. Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
6. Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
7. Participates in special projects and performs other duties as assigned.
Qualifications
Experience in applied research or quantitative modeling, with an ability to independently execute well-scoped research efforts and contribute to larger multi-disciplinary projects.
Strong experience building machine learning or deep learning models to address specific problem statements.
Experience or strong familiarity with quantitative trading concepts and systematic workflows.
Proficiency in Python and comfort working in development environments such as SageMaker, Databricks, or similar platforms.
Experience designing and interpreting evaluation frameworks using out-of-sample testing, simulation, and backtesting.
Experience with fixed income investment management problems is preferredParticipation or completion of the CFA or related financial knowledge is valuable.
Ability to read & reproduce research papers in computational settings.
Participation in systematic or quantitative workflows in Investment Management is a plus.
Academic Background:
Undergraduate degree in a related STEM field with strong modeling and programming foundations required
Graduate degree, or equivalent industry experience in applied research, machine learning, quantitative modeling, or engineering workflows, is preferred
Strong coursework in mathematics, statistics, optimization, machine learning, or related analytical disciplines is valuable
Strong written and oral communication skills
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
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.
Skills Required
- Minimum of five years related analytical work experience
- Experience with data wrangling and programming to access, transform, and prepare large-scale data for statistical modeling
- Experience utilizing statistical and machine learning methods
- Ability to develop complex queries to extract and prepare data
- Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics, or related field (or equivalent experience)
- Graduate degree
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
