Jobs

Role/Responsibilities :
Be a part of a team of highly motivated and talented scientists and engineers responsible for designing, developing, and deploying state-of-the-art, data-driven predictive models to solve a variety of business problems using the latest technologies in neural networks, machine learning, statistical modeling, pattern recognition, and artificial intelligence.

Main responsibilities include:

• Data exploratory analysis and understanding: Perform data cleansings and basic statistical analyses; develop an in-depth understanding of large datasets; modify and use various techniques for filtering, pattern identification, feature extraction, and variable selection.

• Algorithms and modeling techniques: Experiment with different types of algorithms and modeling techniques; develop prototypes of promising methods and conduct performance studies; create commercial-quality implementations of algorithms and techniques for use in analysis and production.

• Client interactions: Prepare model reports for communication with internal and external clients; participate in pre-sales meetings and calls; and provide post-implementation product support

Minimum Qualifications:

• A MS Degree in a science or engineering field with 3 or more years of relevant industry experience or a Ph.D degree in a science or engineering field.
• Industry and academic experience will include employing neural networks, machine learning, mathematical/statistical modeling, pattern recognition, or data mining/data analysis on real world problems.
• Strong problem solving and analytical ability.
• Excellent communication skills and the ability to work both in teams and alone with limited supervision; ability and willingness to learn new fields of mathematics, statistics, and computer science/software development.
• A statistical thinker and quick learner.
• Team orientated and at the same time has the ability to work independently with minimum direction.
• Extensive experience with Unix and at least one major programming language such as C or Java.

• Ph.D. in a science or engineering field.
• Domain knowledge in the financial industry.