Data Analytics Rotation and Training Program

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Date: Feb 4, 2019

Location: Los Angeles, CA, US, 90071

Company: Capital Group

 

Req ID:  29506
Experience Level: Entry-Level 

Come grow with us

At Capital Group, how we work is defined by more than our shared values of absolute integrity, respect and collaboration. It’s smart and highly driven people united in purpose to serve our investors and one another.

Bring your energy and unique perspective to Capital Group and you will have the opportunity to grow professionally, personally, and financially. You will be part of a team that genuinely cares about helping you succeed and work alongside talented colleagues. Capital Group associates build lasting careers while progressing through multiple roles, establish lifelong friendships and making an impactful difference in our communities. In return for your contributions, you will receive premier compensation, benefits, and a company-funded retirement plan that ranks among the most generous.

The DART (Data Analytics Rotation & Training) Program is a highly selective 2-year program comprised of 3-4 rotations across various business functions. As a rotational analyst, you will be exposed to different areas of Capital Group’s business and contribute to the success of the company with your quantitative skills.

DART offers you the chance to:

  • Try jobs in different departments through rotational assignments utilizing your data analytics skills. You’ll have opportunities to work with Investment-related functions, Research, Sales, Strategy, Trading, and Operations to explore what you are truly interested in.
  • Attend a training Boot Camp with your cohort to sharpen your analytical skills, and get free access to unlimited online learning sites throughout the program.
  • Build relationships with business leaders across different departments.

Where is the program located?

DART Associates are based in Southern California (Los Angeles and Irvine). Upon your successful completion of the 2-year rotational program, we work with you to identify great long-term placements across our global offices based on your interest and the needs of the business.

Eligibility Requirements

  • Undergraduate students with an anticipated graduation date of Spring 2019. Degree in Statistics, Data Science, Mathematics, Finance, Economics, Machine Learning, Engineering, Computer Science or related quantitative focus with a minimum GPA of 3.0
  • Candidates perusing a Master’s in Financial Engineering, Quantitative Finance, Computer Science or equivalent with a graduation date of Spring 2019 will be considered
  • Proficiency in data visualization tools (i.e. Tableau), analysis tools (i.e. R, SAS, SQL), and/or coding experience (Java, C++, Python or Perl) preferred
  • Demonstrated interest and experience leveraging analytics and working with large amounts of data to drive significant business impact. This could include but not limited to areas such as data management, data science, data engineering, and business analytics.
  • Passion for learning and demonstrated leadership in extra-curricular activities
  • Demonstrates intellectual curiosity and analytical skills in areas of high complexity and ambiguity
  • Demonstrated interest in investment management a plus

Note: Deadline to apply 2/28

Company Overview:
Founded in 1931, Capital Group is one of the world’s largest and most trusted investment management companies and home to the American Funds. We manage more than US$1.7 trillion in assets, and our 7,500 associates make our clients their first priority every day. When we do our job right, millions of investors around the world fulfill their dreams and financial goals, from home ownership and higher education, to a comfortable retirement. Our long-term investment results and outstanding service set us apart from our competitors, while our workplace sets us apart from other employers. 

 
We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law. 


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