Data Scientist

at  Cambridge Associates LLC

Arlington, Virginia, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate29 Aug, 2024Not Specified30 May, 20243 year(s) or aboveEligibility,Communication Skills,Python,Computer Science,Investment Management,Sponsorship,Data Analysis,R,Analytical SkillsNoNo
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Description:

OUR PEOPLE

Cambridge Associates believes we do our best when you do your best.
At CA, we are only as successful as you are. We actively recruit and invest in the most dynamic and diverse talent and then empower you to succeed. By leveraging your unique skills, developing your individual career goals, and building a collaborative global community of connected, diverse individuals, we build a community that is stronger together.
But enough about us. Tell us about YOU
o Are you a bold individual seeking an opportunity to contribute to a value-based, collaborative environment in some of the most exciting cities around the globe?
o Are you eager to work for an organization committed to diversity, inclusion, sustainability, and Corporate Social Responsibility?
o Do you strive to work in an environment that encourages innovation and teamwork?
o Are you a thought leader who cares about making a difference in the world while contributing to an amazing culture?
o Do you value a challenging professional opportunity where you can leverage your skills, gain a valuable foundational in finance and investment, and build a long-term career development plan?
o Are you seeking a competitive salary a robust and comprehensive benefits program, and a variety of attractive benefits and perks?

THE OPPORTUNITY

We are seeking a highly motivated and detail-oriented junior Data Scientist to join our Investment Science Team. The successful candidate will partner with data science and investing professionals to curate and analyze a wide variety of financial data. This role involves collaborating with other data scientists to deliver high-quality intelligence to our constituents through the application of novel statistical methods.

QUALIFICATIONS

  • Bachelor’s degree in Math, Computer Science, Data Analysis, or a related field.
  • 0-3 years of experience in a professional services environment.
  • Experience and proficiency with coding in R or Python. Ideal candidates will have proficiency in both.
  • Strong analytical skills and a passion for solving complex problems through data.
  • Ability to thrive in a flexible work environment, including both in-person and remote work options.
  • Excellent communication skills and a proactive approach to problem-solving.
  • A curious mindset with a commitment to life-long learning.
  • A keen interest in finance and investment management.
  • A passion for creating useful intelligence and working with constituents to leverage that intelligence in creating better outcomes for clients.
  • Eligibility to work in the US without sponsorship or restriction.

Responsibilities:

  • Collaborate with data science and investing professionals on data analysis related to investment performance across a variety of domains including client portfolio performance, asset class performance, and individual manager performance.
  • Deliver high-quality insights within project scope and timeframes in collaboration with other data scientists.
  • Curate new and interesting data sets that support the intelligence we seek to deliver.
  • Apply novel statistical methods to analyze data from varied sources.
  • Participate in planning and execution activities for projects undertaken by the Investment Science Team.
  • Write basic unit tests and support test-driven development/automation within the investment science code base.
  • Engage in Research and Development activities and prototypes.
  • Participate in peer code reviews.
  • Write monitoring and validation code that monitors data objects that the team creates.
  • Automate the delivery of intelligence through our cloud infrastructure.


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Math computer science data analysis or a related field

Proficient

1

Arlington, VA, USA