Executive Director of Data Science & Innovation

Executive Director of Data Science & Innovation

NYC

$250,000 - $300,000 base salary + BONUS!

Looking to find a highly skilled and educated member of the NY Data Science community who has an interest in generating massive profits for an established team, and researching the best ways to stay in front of the most innovative methods of ML and AI.

THE COMPANY

A massive and global Investment Bank born and raised here in Manhattan, is seeking an Executive Director of Data Science who has experience with Deep Learning and research focused finance in relation to Data Science. In this role, you will be managing a centralized team of PhD-level Data Scientists, and you will be partially hands-on helping to develop Time Series and Deep Learning-related models and projects for use throughout our entire organization, while also having the wherewithal to be able to translate your communication style to brush shoulders with top names in the business.

We place a strong value on collaborative teamwork and work-life balance, and many of the people that join us stay with us for the long-haul to build their career.

THE ROLE

Aiming to harness the value of our operations team's immense collection of data is a huge business initiative, and the firm wants to make a strategic hire a to drive innovation and launch the firm towards future success. The role is a hugely senior level team member who is a deep thinker and will have a powerful voice in driving company growth. They live to create hypotheses, solve problems, and present any and all assumptions back to essential stakeholders by owning the solution from end to end. If freedom, autonomy and head scratching professional challenges rock your world, we could be a great match. Some responsibilities include:

· Building prototype code for integration of new algorithms to exploratory analysis, construct relevant variables, and perform sample design

· Research and development for data-driven analysis on structured and unstructured data sets

· Act as C-Suite contact

· Analyzing large, complex data sets, solving problems using advanced statistical and Machine Learning techniques

· Work collaboratively with engineering and product management teams to integrate new quantitative features

YOUR SKILLS AND EXPERIENCE

The successful Candidate will likely have the following skills and experience:

· ONLY CONSIDERING PhD degrees: in Mathematics, Econometric, Physics, Statistics, or Computer Science, OR RELATED

· Applied Machine Learning experience on LARGE data sets, with commercial experience in building predictive models

· Prior experience with advanced Mathematics and statistical modelling, and applying it to data mining methods (GLM/Regression, Trees, Clustering, SVM, Time Series analysis etc.)

· FLUENT in Python (most libraries REQUIRED) and/or R, as well as SQL programming, and DEEP LEARNING LIBRARIES AS WELL

· Skilled in data warehousing, cleaning/transforming data for future engineering, and leveraging visualization tools

· You are highly team-oriented, focusing on COLLABORATION and COMPETITION

***NO SPONSORSHIP IS AVAILABLE AT THIS TIME***

THE BENEFITS

A competitive base salary of $ 250,000 - $300,000 + Bonus +Flex PTO + Full benefits + Possible Stock Purchase Options..
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KEYWORDS

Machine Learning| Python| Tableau| Data Science| Statistics | Trading/FX | Capital Markets