Join Us at the nexus of cutting edge data science and world-class lending strategy
Work for 2OS
Be part of a world class team of credit and advanced modeling experts committed to improving financial and risk results in a rapidly changing landscape.
In addition to your contributions, 2OS helps you grow your savings by contributing to your retirement account.
Join a team of excellence. Our company culture is both merit and fact-based, and cultivates an environment that best supports the data driven ideal of problem solving.
At 2OS we set our employees up for peak performance success by offering flexibility of schedule, generous vacation time, maternity & paternity benefits and more.
For DC Metro commuters living in the vibrant neighborhoods of our nation’s capital, our Arlington office is walking distance from the subway, and our Richmond office is just a few miles south of everything DC has to offer.
Our business analysts use data-driven analytics to provide unique solutions to our client’s credit challenges. They work closely with our clients to frame their problem, determine the information/data available and craft fact-based recommendations. These recommendations might include: developing a program strategy, constructing a valuation model or performing deep dive analysis. In all cases, our consultants work hand in hand with our clients to identify and implement the value optimal solution.
Ideal business analysts have a background in quantitative problem solving with undergraduate and/or advanced degrees in a quantitative field (math, engineering, etc.) and experience in roles involving rigorous analysis. They have high-order business savvy to quickly identify points of economic and analytic leverage. Consultants also must be empathetic communicators and problems solvers who work well as part of a team both within 2nd Order and with clients. Experience in credit risk is preferred, though not required.
Our data scientists leverage elite modeling and industry context to develop custom, practical solutions to our client’s business problems. Their ability to understand, navigate and manipulate a range of complex data structures enable them to work within our client’s environments to optimally structure their data for analysis. Thru collaboration, they identify the most effective algorithms and modeling techniques to solve that client’s problem.
Ideal data scientists have a Masters or PhD in a quantitative field and several years of work experience in a relevant field. Data Scientists must be able to work seamlessly with different types and qualities of data and be able to work backward from a deep understanding of the business problem to develop the appropriate models. Complete fluency in a statistical package such as Python, SAS or R is required (Python is preferred). Experience and comfort in an analytically intense environment is preferred, though not required.