Hi ,
If you have anyone with you for the following position, please send the suitable resume along with Contact Details,
Kindly share suitable resumes ASAP to sanjay.yadav@nityo.com
Role : Data Scientist
Location : NYC, NY /local only
Duration: 4+ months
Experience:10+years
Need :local only (in person)
Job Description:
The Data Scientists will be a part of the TCS Hedge Fund Analytics Team with the mandate to assist the hedge funds in developing new investment strategies. They are expected to have a strong grounding in Statistics, Financial Modeling and Python with working knowledge of global financial markets and instruments. have
The role will include
· Understanding the hypothesis presented by the Hedge Fund (example- Stock Volume is a predictor of Abnormal Stock Returns)
· Developing a financial model to evaluate the hypothesis ( like regression model)
· Working with the team to identify the potential model ingredients
· Understanding the outputs and recalibrating/ redefining the model/ data
· Testing the model using various data sets to comply with the acceptance criteria laid out by client
· Sourcing and modifying data ( structured/non structured ) as required
· NLP and Machine learning at later stage
to work with the research team of hedge fund to validate models, evaluate research material and implement models and their variations. Post implementation, the models need to be validated and tested against various scenarios. Research will actively work with the data scientist to suggest changes in the model or to employ different strategies to implement or maintain a model. The nature of work is expected to be quite dynamic and may also delve into natural language processing, machine learning at later stage, possibly augmented by a variety of skilled team members.
Expected Duties
· Source the structured / unstructured data as required
· Explore and analyze historical data and apply integrative thinking to identify trends
· Understand the hypothesis presented by the hedge fund (e.g. Stock Volume is a predictor of abnormal stock returns)
· Analyze business problems, generate hypotheses
· Analyze data to prove hypotheses and make recommendations for improvement
· Design statistical and mathematical models to evaluate hypotheses (like regression model)
· Understand the outputs and recalibrate the model / data, test and validate the model
· Use quantitative skills to assess model performance and develop reporting methodologies for those assessments
· Assess model risks and limitations, and devise protocols to mitigate/adjust for those risk and limitations
· Work with external model developers, financial analyst, and valuation agents to broaden understanding of financial markets
· NLP & machine learning at later stage
· Work efficiently in a high volume, fast paced, and deadline/results oriented environment
· Work in onsite-offshore model by providing overlap with onshore analyst during EST hours
Requirements / Qualifications
· Experience in implementing analytical algorithms for capital markets, retail, insurance or healthcare domains
· Excellent programing skills using Python, R, Scala, SQL, etc.
· Expertise in looking at data and numbers in an analyst's way
· Expertise in advance Mathematics, Statistics e.g. Multivariable Calculus, Game theory, Linear Algebra, Operations Research, etc.
· Ability to decompose and solve a problem using various techniques
· Ability to connect to various data sources and extract required data for analysis
· Experience in creating models and model maintenance with large amounts of data
· Excellent understanding of capital markets domain
· Preferred Qualifications and experience
o Bachelor's degree in a Quantitative disciple (e.g. Mathematics, Statistics, Engineering, Physics, Computer Science, Economics)
o 5+ years in a similar profile (or at least of being data analyst)
Sanjay Yadav
Techinical Recruiter
Desk : 609-853-0818 Ext-2167 Email: sanjay.yadav@nityo.com
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