Research and Algorithms Developer (United Income)

Capital One
McLean, Virginia
Apr 11, 2021
May 11, 2021
Full Time
McLean 2 (19052), United States of America, McLean, Virginia

Research and Algorithms Developer (United Income)

United Income is a money management solution that strives to be both holistic and cost-efficient. Our technology studies millions of different combinations of future life, market, and benefit outcomes with the goal of finding the optimal set of financial decisions for each of our members. Using this technology, we are able to offer personalized advice on everything from investment allocations to Social Security claiming to tax planning.

At United Income, we value collaboration. We encourage one another to build phenomenal things, and individually we're all passionate about doing our best work. You'll be responsible for solving some difficult problems in consumer finance. As you tackle these problems head on, you'll work with others across the company to make sure you have all the information you need.

The ideal candidate is proficient with mathematical logic, quantitative modeling and algorithm development. You should have a knack for real-world problem solving, love finding edge cases in solutions, and enjoy learning new things including public policy- think Taxes and Social Security! You will work with the Methodology team to develop, test and innovate on the methodology and algorithms used in our product, and you will work with the engineers to bring the solutions you design to life.

Roles and Responsibilities
  • Research the industries, policies and behavior of financial planning solutions and investment products we want to build in the system.
  • Innovate and develop the logic and the algorithms of how we should build our models and features, including developing mathematical models.
  • Serve as a subject matter expert to support the engineers and product team to build new functionality.
  • Assist with the quality control of the models built by the engineers in the application to ensure that they meet the mathematical and algorithmic spec, and that edge cases are handled correctly.
  • Assist our wealth managers in using our software to model unique customer cases.

Basic Qualifications
  • Masters Degree
  • At least 2 years of combined experience in mathematical research, methodology, or software development
  • At least 1 year of coding experience in Python, Java, or JavaScript

Preferred Requirements
  • PhD in Mathematics, Quantitative Finance, Statistics, Computer Science, Financial Engineering, or Economics
  • High level of interpersonal, teaching and communication skills
  • Basic knowledge of Monte Carlo Simulation methods, Finance or Investment modeling
  • Basic understanding of combinatorial optimization methods, computational complexity, polynomial-time algorithms and linear programming
  • 5+ years of experience in mathematical research, methodology, or software development

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

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