Senior Quantitative Researcher - Equities Asset Management - IIT/NIT

AQE is seeking an Intermediate or Senior Quantitative Researcher who will be responsible for developing new quant strategies using investment insights and sophisticated statistical techniques.

Job Duties:

- Conceptualize and Develop alpha strategies : using statistical techniques - optimization / machine learning / deep learning / NLP, data analysis techniques and economic insights

- Back test and evaluate investment strategies / data vendors / alternative data / signal to drive innovation and enhance alpha generation capability

- Manipulate and analyze large datasets with the intent to conduct bias-free simulations

Qualifications and Skills:

- Advanced degree in Computer Science/Statistics/Mathematics or similar quantitative field from IITs/NITs or other leading institutes.

- Strong knowledge of probability and statistics (e.g., machine learning, pattern recognition, NLP, time-series analysis)

- Excellent scientific/analytical programming skills with experience in tools such as R, Python, MATLAB

- Experience with database programming languages, and handling of structured/unstructured data

- Strong interest in financial markets and quantitative investment

- 2-6 years of industry experience in Quant Development / Data Science roles

- Creative, hardworking, self - motivated, high level of integrity, extreme attention to detail and quality standards

- Positive attitude, strong work ethic, strong communication skills and the ability to work in a team

Desirable skills:

- Familiarity with investment theory or quantitative finance in equities

- Working experience with distributed processing. Experience with one of Hadoop, Spark, Netezza, Hive, SparkSQL, SparkR

- Working knowledge of Linux

- Knowledge of Tensorflow and/or Theano

- Experience with visualization tools such as Tableau