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VP, Data Scientist - Banking

Advertiser
Harnham
Company
Harnham
Date Posted
11th November 2016
Reference
848
Category
Scientist
Location
New York
Benefits
Bonus and Benefits
Salary
$150,000 to $180,000 Per Annum
Contract Type
Permanent

VP, Data Scientist - Banking
New York, NY
$150,000 - $180,000 base salary + performance related annual bonus and benefits

Are you interested in working as a Data Scientist for a hugely exciting, dynamic and globally renowned commercial & investment bank where career progression based on performance is a reality? In tandem with this, one should expect exposure to some of the organization's most senior professionals, bolstered by a cool, tech-focused working environment with some of the industries most innovative software and tools. Our client is interested in hiring an experienced Data Scientist, essentially with deep expertise in machine learning and predictive modeling, alongside a modern technical skill-set including coding in Python.

THE COMPANY:

Unmistakably one of the most dynamic and forward-thinking data science groups within the global commercial & investment banking space. The working environment is collaborative, focused and results orientated with engaging, modern technology setting the business apart from their competitors at the very forefront of targeted markets within banking.

THE ROLE:

  • You will be expected to research, develop and implement new methods of measuring and analyzing large and highly complicated data sets.
  • Essentially you will work with a variety of cutting-edge innovative software tools and open sources to gather, cleanse and analyze complex financial data.
  • A core segment of your remit will involve designing and building predictive models using machine learning methods, to solve the math in order to solve business problems, whilst engaging in data analysis at the highest level and communicating with major stakeholders internally.

SKILLS AND EXPERIENCE:

  • Essentially you will have an advanced degree, MA/MS or higher, in Statistics, Mathematics, Computer Engineering, Computer Science or another quantitative discipline.
  • You are exceptional at designing and building predictive models through machine learning methods, used to analyze real-time, rather than historic, complex financial data.
  • At least five years of professional experience, after graduation, in the use of advanced statistical analysis/machine learning methods in data analysis within financial services and decision making is vitally important.
  • You will be entirely fluent in Python and SQL.
  • You must have proven knowledge of NoSQL data stores, MapReduce and Hadoop.
  • Expertise in utilizing relational databases for data storage and analysis including data extraction is essential.

THE BENEFITS:

Competitive base salary on offer $150,000-$180,000, plus a performance related annual bonus and leading employee benefits.

HOW TO APPLY:

Please register your interest by sending your résumé via the 'Apply' link on this page or directly

KEYWORDS:

Data Scientist | Predictive Models | Machine Learning | Banking.

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