Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

What are the ongoing responsibilities of the Data Scientist?

• Engaging Portfolio Managers in investment team meetings; present and share investment ideas, insights, and results
• Selecting/creating features from raw data, and building/optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending the data used in modeling with third party sources of information
• Processing, cleaning, and verifying the integrity of data used for analysis
• Conducting ad-hoc analysis and presenting results in a clear manner 
• Creating automated data consistency checks (e.g., between live/historical data) and unit testing techniques to ensure ongoing model performance
• Building, deploying, and maintaining ML models in cloud

What ideal qualifications, skills & experience would help someone to be successful?

• Bachelors or master’s with 2-6 years of coding and data science experience
• Prior experience in Investment Management / Financial Services / FinTech is good to have.
• Experience in Fixed Income Modeling/Quant (or) Research Experience in US Securitized Products or Consumer Credit is a plus
• Professional certifications such as Certified Financial Analyst (CFA), Financial Risk Manager (FRM), or Chartered Alternative Investment Analyst (CAIA) are preferred
• Requires advanced skills in Python- especially Pandas
• Must be able to produce code in Python at a rapid rate
• Experience with supervised/unsupervised machine learning techniques, especially tree-based algorithms, and k-means clustering. Neural networks experience is a plus, especially with RNNs and CNNs
• Experience modeling and making sense of complex systems
• Must have at least 2+ years of coding experience.
• The applicant must have a strong underlying coding ability
• Must have strong applied statistics skills, such as understanding of distributions, hypothesis testing, and probability
• Great communication skills and experience with data visualization tools in Python
• Proficiency in SQL is a plus. Must be able to write basic queries at minimum
• Experience with high performance computing is a plus (e.g. cluster computing on Azure with Spark/Hadoop)
• Masters/PhD in a quantitative discipline is a plus, but is not required

Job Level - Individual Contributor

Shift Work Timings – 2:00 PM – 11:00 PM IST