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Executive Director of Data Science & Innovation

New York
US$250000 - US$300000 per year + Bonus
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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..
…

KEYWORDS

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

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23658677
New York
US$250000 - US$300000 per year + Bonus
  1. Permanent
  2. Data science

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Visit our Blogs & News portal or check out our recent posts below.

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Sam Brown

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If you’re a small to mid-size business and think cyber criminals only go after big business; think again. It’s just as important, if not more important for you to have privacy plans in place. This goes way beyond GDPR and state-to-state rules, this is about how you care for your customers personal information. The return on investment will set the tone for future years of your business. After all, according to a 2018 report by Verizon, 58% of cyber-attacks targeted small business. While it may seem counter-intuitive and larger businesses are bigger fish to go after, they can be difficult to get into. After all, they’ve got the resources to protect their customer’s Data and are hyper aware of what it can be to their business if they don’t. Smaller and mid-size businesses generally don’t have the resources of the larger businesses, and may not focus on cybersecurity like they should which leaves their business wide open for cybercriminals. Chinks in the Armor of Your Data Cybercriminals excel at finding “chinks in the armor” of your Data. They’ll use any advantage to break in from the usual hacking and malware to physical breaches. One improperly secured device can be just the entry they need into your entire system.  What can you do? Be focused in your approach to Data security. Many small businesses tend to put out fires, rather than have a focused strategy. And each approach to tighten security can lead to more opportunity for hacking.Communicate your strategy to every member of your team. Something as small as clicking on the wrong link can lead to a Data breach.Train your staff on measures they can take such as to not click on a link they’re not expecting, to check email addresses and ensure they’re approved or white-listed as okay to access. The more aware your staff are, the better able they’ll be able to help ensure the security of your business’ Data. While staff may be on the front lines, this also requires a commitment from senior executives as well. Understand that just because you’re not dealing in billions of dollars, you may actually be at greater risk. Why? Because unlike the larger companies, your business may not survive the fallout of a cyber-attack. How to Protect Your SMB You can protect your business by creating a Data Security Strategy and consider the following: Encrypt your data;Authenticate your users by either a 2-step verification process or having them enter some kind of code;Authorize access to trusted sources. Encrypting Data helps protect the private and sensitive information and makes it unreadable without the correct key. To ensure only those who are trusted sources have access is through authentication.  Authentication can include username/password, code, tokens, phone number, and image association such as click only the boxes with pictures of street lights or stop signs. This helps your business control who has access and gives you tighter rein over who sees sensitive information and what they can do with it.  By defining the rules and regulations of access to information, training your employees to be aware and what to do to ensure security, you can strike a balance of increased security and transparency to your customers. In other words, the efforts you go through to protect their Data will put you ahead of the competition as you make inroads toward a Data privacy strategy while others take action as things happen. One Final Thought Ensuring your business’ Data is protected and detecting times when it may have been breached is increasingly important to help minimize damage. One issue SMBs face is that it may take longer to detect if there isn’t a Data security plan in place. The more quickly you can detect an issue, the more quickly you can reduce its impact and the more quickly and effectively you can respond, the better.  Interestingly, smaller businesses tend to have a better overall picture of their assets than larger businesses. This can be a boon when you communicate your new cybersecurity strategy to your teams and offers a significant return on investment of your resources. If you’re interested in Big Data and Analytics, we may have a role for you. Take a look at our current vacancies or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

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