What are the ongoing responsibilities of the Data Scientist? - Partnering with investment teams to provide machine learning / AI / Data Analysis expertise to enhance investment decisions and returns - Engaging Chief Investment Officer (CIO) and 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 What ideal qualifications, skills & experience would help someone to be successful? - Bachelors or Masters with 4+ years of coding and data science experience - Prior experience in Investment Management / Financial Services / FinTech is a must - Must have a passion for trading/investing. Any past trading/investing experience, either personally or professionally, is a plus - Experience in Fixed Income Modeling/Quant (or) Research Experience in US Investment Grade/High Yield/Floating Rate/Securitized Products 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 output 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 4+ 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 AWS with Spark/Hadoop) - Masters/PhD in a quantitative discipline is a plus, but is not required

Hyderabad

Franklin Templeton - Data Scientist - Artificial Intelligence/Machine Learning 

Franklin Templeton - Data Scientist - Artificial Intelligence/Machine Learning  ,Job Description for Franklin Templeton - Data Scientist - Artificial Intelligence/Machine Learning  in Franklin Templeton in  Hyderabad for (4-7) years of experience. Apply Now!

Job Description for Franklin Templeton - Data Scientist - Artificial Intelligence/Machine Learning  in Franklin Templeton in  Hyderabad for (4-7) years of experience. Apply Now!