Job Description :
ROLE: Data Scientist
Location: Charlotte, NC
Duration: FTE

Responsibilities
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Manage changes to requirements and baseline through a change control process
Utilizes standard processes, design and testing tools throughout project development life cycle
Work closely with the operational functional teams, operations management and personnel, and various technology teams to facilitate a common understanding of requirements and priorities across all areas
Perform business and data analysis in development of requirements and in ongoing support of production applications

Qualifications
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
Great communication skills
Experience with data visualisation tools, such as D3.js, GGplot, etc.
Proficiency in using query languages such as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills
Data-oriented personality
College education mandatory (Preferably in quantitative/financial discipline)
8 – 12 years of business analysis experience in capital markets domain for traded products
Excellent verbal and written communication skills. Prior experience interacting extensively with users.
Extensive experience authoring FRD’s and BRD’s
Good understanding of capital markets products (OTC derivatives, ETDs, Bonds, Futures)
Experience in working through the SDLC cycle and support SIT, UAT and User signoffs.
Advanced SQL knowledge
Good analyzing capabilities, to break complex problems into simpler ones.
Ability to explain domain concepts to Developers

Preferred qualifications
Prior experience/exposure to traded products data modeling is highly preferred