Tag Archive for: data and analytics
I graduated from Stevens Institute of Technology in 2002 with a Computer Engineering degree. The Institute was very close to Wall Street, and upon graduation, many of my classmates received offers from top Wall Street firms and investment banks. I too fell into the allure of working on Wall Street. I received a few offers from some of the top firms in New York—and I also received one from Vanguard, who was making it a priority to recruit from my school at the time. However, this was when the dot-com bubble burst and most of the Wall Street firms rescinded their offers for all of my classmates including me. Vanguard was the only firm that honored their commitment and did not rescind their offer. I am thankful to this day. At Vanguard, I have the opportunity to do what I always dreamt of doing and much, much more at a firm where doing right by clients and crew is the guiding principle. I joined Vanguard as a software engineer and never looked back. At the time, all I wanted to do was to apply what I had learned in school to real life problems, but didn’t have much thought about where I applied them. As time went on, I realized how fortunate I was to be at Vanguard, whose main mission was to help people all over the world reach their financial dreams. Knowing you’re doing well for others is incredibly rewarding. I got the best of both worlds: I could apply my passion in technology and apply it at a company whose mission is to lift people up. I also got to work on our trading systems, sales systems, mobility (iOS) systems, customer relationship management systems and so on, all while learning about and applying analytics to everything we did.
From a career perspective, Vanguard invested in my professional development. Today, I’m the Head of AI & Machine Learning for Enterprise Advice. focused on artificial intelligence and data science. About 7 years ago, with the advent of big data technology and infrastructure, I started to focus on advanced analytics and data science exclusively. I saw an opportunity to use data science and artificial intelligence to provide better, more personalized, and smarter services to our investors.
Vanguard now wants to do for financial advice what we did for Exchange Traded Funds and mutual funds: make top notch, holistic advice accessible to anyone who needs it at an incredibly low price. That’s where my team comes in. I now help lead our advanced analytics and artificial intelligence team for Vanguard’s advice program. My department is comprised of data engineers, data scientists and artificial intelligence and machine learning scientists who collaborate closely with our investment experts and economists. And they come from diverse educational backgrounds—some have computer science or engineering backgrounds, while others studied physics or statistics.
In order to create highly personalized advice experiences, we seek to incorporate behavioral economics to better personalize the advice needed. To that end we are utilizing artificial intelligence and other data science techniques on a variety of financial advice projects. Our goal is to create experiences and services that will help more people than ever before reach their financial goals. My team is directly empowering Vanguard’s mission and I personally feel inspired every day to come to work. Being able to learn about cutting edge technology in artificial intelligence and data science and use it to help as many people as possible is extremely rewarding.
Investing is complex, and sometimes, it’s a challenge for people to know how to make wise investment and financial decisions. Vanguard is committed to giving investors all over the world a fair shake, and is investing in services—such as advice—to do so. I am passionate about trail blazing artificial intelligence and machine learning at Vanguard, which is enabling us to fulfill our mission and help millions of people all over the world reach financial independence.
Now, who will join us on this noble mission?
-Amir A.
To view opportunities available on Amir’s team, please click here.
If you’re seeking an environment where you can make a difference and develop professionally, check out our Data & Analytics and Information Technology & Security career opportunities.
I started my career in recruiting 14 years ago. Over the years I’ve supported many different industries–finance/banking, technology, pharmaceutical, business services, food and beverage, healthcare–but none as challenging and unique as data & analytics. When I first started recruiting for data science roles, it was for the pharmaceutical and tech industries. This experience opened my eyes to all the different divisions that the data & analytics job functions fall into; they span across many different parts of the business and have numerous job profiles. With so many different types of analytical profiles, I had to live and breathe analytics recruiting to effectively recruit the right people into the right roles. I joined Vanguard in January 2016 as a senior recruiter, where I’m responsible for delivering top talent for Vanguard’s analytic and data science needs. But no matter where or for whom I recruit in this space, I’ve learned that some things are universal. How to prepare for an interview This is not your typical interview. In most cases, data scientists and analytical interviews will have some sort of technical testing, as well as a presentation. With many of the candidates we interview, but especially with data scientists, I like to spend some time discussing the interview preparation piece. These candidates are coming in and presenting to a team for a portion of their interview, and I find this to be the most critical part of the process. Letting candidates know that they should feel comfortable working with the recruiter on interview preparation is one of the most important aspects of my job. One thing I like to do after we decide to bring someone in for an on-site interview is to congratulate them on making it to the next round. Making it past the phone screen is a big accomplishment and I like to build the candidate’s confidence, be a resource for questions, and share what they can expect. I take it as a personal responsibility to increase their chances by successfully communicating with and preparing them for the on-site interview. We as recruiters should know firsthand what the candidate will encounter at the interview by speaking to the hiring manager beforehand about what they want to discuss and understand. Let’s be honest, we want the candidate to land the job just as much as the candidate wants to land the job.
“I’m looking for highly motivated individuals that can solve business problems, using machine learning, and are passionate about learning new ways of delivering value to support Vanguard’s goals.”
-Eduardo F., hiring manager
Advice for recent data & analytics graduates
The easiest way to get introduced to potential employers after graduating, or preferably before graduating, is to have your professor write you a letter of recommendation for a desired employer. In a lot of cases, schools are well connected to employers in their local areas and even nationally. In addition to typical data knowledge, you may also want to learn code, and be able to clearly communicate technical concepts. What they don’t teach in school, though, is that you need to be a generalist as well. I find that some students are boxed into using one set of tools that they’ve learned in college. I’d recommend looking into methods outside your comfort zone to add to your problem-solving tool box. Learning and practicing work from different vantage points will give you a diverse way of seeing and approaching problems. But the best advice I’d have for any data scientist would be to stay current. Employers love when they know a candidate is continuously honing their skills. There are many sites and nano degrees out there to practice and uncover knowledge gaps.
Sharing the data analytics story
So how does Vanguard reach candidates in such a competitive market? One of the most effective ways we start conversations with candidates is by sharing content that has meaning for them. For example, we’ve recently launched a data analytics page on our career site. This page showcases why our data scientists are an elite group with deep experience in diagnostic, predictive, and prescriptive analytics. It shows that they solve Vanguard’s hardest, messiest questions with creative approaches and techniques. We’ve also created several videos so our crew can talk about their work, impact, and career journeys. Most importantly, they give our data scientists, engineers, analysts, a way to share a day in their lives here at Vanguard. I think they’ve got a great story to tell.
More careers blogs you may have missed
Solving Problems and Innovating through Data Science
Driven by Vanguard’s mission, crew member Amir shares his career journey through technology and data science in this careers blog.
My Story: Vanguard’s Chief Investment Officer Greg Davis
Chief Investment Officer Greg Davis looks back at his upbringing, his early job history, and why he ultimately came to–and stayed at–Vanguard.
What differentiates us from other data science teams?
Data Science Manager Mirim L. provides her perspective on what it means to be a Data Scientist at Vanguard.