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Senior Data Scientist | Global Investment Management Firm

  • Location

    New York City

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Contact:

    Amelia Jones

  • Contact email:

    amelia@intelletec.com

  • Startdate:

    ASAP

  • Consultant:

    Amelia Jones

Intelletec has partnered with a well-known Global Investment Management Firm; they are growing their Technology Development group and are looking for Data Scientists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. This role is a hybrid remote role in NYC.

 

You will play a key role in helping build the future of financial services, working hand-in-hand with investors to help drive better decisions that provide excellent outcomes for clients. 

 

Responsibilities:

 

  • Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis, and/or visualization techniques, including predictive analysis, pattern recognition, operational effectiveness, and/or economic forecasting.

  • Drives adoption of Data Science techniques within investments domain

  • Stays abreast of industry trends, driving leading-edge changes and championing firm adoption of new technologies

  • Operates as a hands-on technologist, delivers within a team as an individual data scientist

  • Leads the firm’s most ambitious, business-critical and/or complex Data Science projects

  • Maintains a broad professional network both internally and externally and leverages it skillfully to achieve results

 

Skills:

  • Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science, Statistics, Mathematics, Engineering or Physics) and 2+ years of professional data science experience.

  • Current or prior experience as a Data Scientist in the investments/asset management or financial services domain helpful

  • A thorough understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data mining techniques

  • Experience in working with large structured and unstructured data sets

  • Fluency in the languages of data manipulation (e.g. SQL) and statistical analysis (e.g. R or Python/NumPy), with the ability to code a plus: e.g. Java, Ruby, Clojure, Matlab, Pig, or SQL

  • Understanding of Hadoop, Hive, and/or MapReduce

  • Machine Learning & Natural Language Processing

  • Conceptual modeling

  • Statistical analysis & Predictive modeling

  • Hypothesis testing

Unfortunately, the client can not sponsor visas at this time.

 

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