Join Vanguards Investment Strategy Group (ISG) to build and apply quantitative returnforecasting models that shape our capital markets outlook and portfolio strategy over multiple time horizons. Youll do missiondriven work with a collaborative team that invests in your learning and longterm growth.
As a Quantitative Investment Analyst you will support senior strategists and analysts in building and improving empirical asset return and forecasting models conducting market and economic research and turning analysis into clear insights for internal partners and external clients. This role is a handson entry point into ISGs research pipeline with meaningful opportunities to grow technical depth and communication skills while contributing to the teams forecasting and portfoliostrategy work.
Responsibilities:
Data & modeling support: Work under the guidance of senior analysts to help design datagathering approaches; clean organize and analyze large datasets; and assist in the development and testing of returnforecasting and related quantitative models.
Applied research: Conduct literature reviews and empirical analyses on investment and macroeconomic topics that support ISG research roadmaps and internal partner requests. Summarize findings and implications.
Insight generation: Draft concise takeaways exhibits and recommendations from your analyses; participate in research meetings to debate issues and refine methods.
Methodology contributions: Contribute to periodic reviews and enhancements of the teams investment methodology and research inventory documenting code assumptions and results.
Stakeholder support: Prepare presentation materials talking points and internal commentary; respond to adhoc research questions from supported groups (e.g. advice delivery or investment teams).
Qualifications
Bachelors degree or equivalent practical experience in quantitative/economic analysis.
Interest in pursuing or progress towards CFA or graduate degree in quantitative finance economics or statistical field.
Preferred experience with analytical and statistical tools with exposure to the investment management industry.
Experience with quantitative analysis econometrics and/or data science (coursework research internship or industry) and working familiarity with statistical/econometric tools.
Proficiency in Python MATLAB R or similar is welcome and can be developed on the job.
Strong quantitative reasoning attention to detail and the ability to transform data into clear insights.
Written and verbal communication skills to create impactful memos charts and presentations for internal and external audiences.
Ability to manage multiple assignments independently while collaborating in a team research environment.
Experience assembling forecasting pipelines (data ingestion feature engineering model estimation reporting).
Ability to formulate and deliver research projects from scoping to literature review analysis and implementation.
Interest in communicating with clients through in-person and virtual ambassadorship events on Vanguards economic market and portfolio outlooks.
Dont meet every single requirement Please consider applying and sharing how you plan to develop in relevant areas.
What success looks like (first 612 months)
Codeliver an enhancement to our proprietary returnforecasting model.
Conduct analysis for and appropriate collateral on two relevant market topic for our quarterly Global Macro Matters publication.
Present methods and findings to the Capital Markets Research team.
Contribute to the teams research inventory with reproducible code and documentation.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard we dont just have a missionwere 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.
Required Experience:
IC
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