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职位Vanguard

Senior Financial Data Engineer

Vanguard

Senior Financial Data Engineer

Vanguard

Malvern, PA

·

On-site

·

Full-time

·

3w ago

必备技能

Python

Java

SQL

AWS

Scala

Machine Learning

Investment Management Fintech Strategies (IMFS) is a global team headquartered in Malvern, Pennsylvania. IMFS serves to actively explore new technologies in ways that could dramatically improve the Vanguard’s investment performance, make capital markets work better for our investors, and embed a culture of innovation throughout Vanguard. This team seeks out internal and external partners and prospects all aspects of technology for ways to experiment and disrupt securities investing across all asset classes. We focus on data strategies including new sources of data and advanced analytics capabilities including machine learning and artificial intelligence; platform and visualization strategies; and market structure strategies.

Responsibilities:

  • Design and enhance proprietary data pipelines and market data platforms

  • Lead the onboarding of new data products for research and hypotheses testing requiring large scale historical data

  • Work closely with data scientists on implementation of AI/ML models

  • Mentor junior engineers to develop production quality code, data pipelines and analytics tools

  • Collaborate with product and technology teams to drive the integration of analytics tools into production systems

  • Work on proof-of-concepts and prototypes involving ingestion of unstructured data into Generative AI tools

  • Stay current on latest innovation in application of AI in financial markets

Requirements:

  • Educational background in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials

  • Strong knowledge of multiple financial data domains

  • Deep knowledge of database concepts with proficiency in SQL and stored procedures

  • 7+ years of strong coding experience in Python, Java, or Scala

  • Demonstrated hands-on experience designing and delivering data platforms on AWS, using managed services for ingestion, processing, storage, and orchestration.

  • Experience in processing large and complex datasets

  • Exposure to equities trading environment and domain knowledge in market microstructure a plus

  • Has intellectual curiosity and is highly motivated to learn application of new technologies

  • Strong communication skills and ability to collaborate across teams

  • Self-starter, motivated, independent, curious, versatile team player

Special Factors

Sponsorship

Vanguard is 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.

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关于Vanguard

Vanguard

Vanguard

Public

A client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.

10,001+

员工数

Kelayres

总部位置

评价

3.0

3条评价

工作生活平衡

3.8

薪酬

2.8

企业文化

2.5

职业发展

2.3

管理层

2.5

45%

推荐给朋友

优点

Better work/life balance

Higher pay compared to current positions

Interesting rotational programs

缺点

Lower pay than industry average

Perceived as dead end career path

Mixed employer reputation at entry level

薪资范围

887个数据点

Junior/L3

Junior/L3 · Business Development Specialist

3份报告

$82,893

年薪总额

基本工资

$72,072

股票

-

奖金

-

$82,893

$82,893

面试经验

3次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Online Assessment/Case Study

3

Phone Interview

4

Technical Interview

5

Final Round Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Coding/Algorithm