Senior Data Scientist at NYC Fintech Startup

Location: New York, New York
Date Posted: 01-22-2018

YOU WILL:

Build the next generation of financial models: You’ll build data driven models covering trillions of dollars of consumer and business debt. To do so, you’ll have a massive quantity and variety of data at your disposal, some of which is only available in aggregate through dv01.
Be intellectually stimulated: You will be exposed to new ideas across data science, finance, and economics. You will also be exposed to the latest research in relevant fields, and be guided by both coworkers and external academic advisors.
Be an integral part of a top priority project: You’ll work closely with industry experts within and outside of dv01 to understand the data in the context of the market. You will work closely with the product team to understand which models best solve the customer needs, and with the engineering teams to realize that vision.
Be customer facing: You’ll regularly publish private and public white papers and decks on dv01’s Intelligence effort. You will communicate directly with our customers, which include top hedge funds and banks, to integrate their knowledge into our models.

YOU ARE:

Data driven: You believe in the importance of quality, timely, and comprehensive data in constructing models. You are able to quickly structure large and messy datasets to experiment with a variety of models, regularly perform data analysis on datasets larger than 1GB, and have trained models on 100’s of GBs of data.
Practical problem solver: You have a strong statistical background and understand the tradeoffs and pitfalls of various data science techniques. You have an extensive toolset to determine mathematical and practical soundness of your models and avoid overfitting.
Experienced with model productization: You are experienced with all stages of the data science lifecycle and understand the additional considerations and effort needed to make a model useful for customers, including customer systems integrations, deployment, automation, and maintenance.
Enthusiastic about expanding your financial knowledge: You’re excited to learn more about the intricacies of the financial system. You are adept at learning on the job and unafraid to dive in to technical finance books.

QUALIFICATIONS:

  • 3+ years of experience or PhD/Masters in a field such as math, physics, or computer science
  • Highly experienced with ad-hoc data analysis tools such as R, Python, Stata, SAS, or SQL
  • Fundamental/broad understanding of data mining and predictive analytics techniques
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