• Design, implement and support an analytical data infrastructure for ML.• Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc.• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.

• Develop big data processing pipelines for alternative data sources containing structured and unstructured data for investment research.• Build platform infrastructure using Hadoop technologies. • Build and support visualization and exploration capabilities around our big data sets. • Implement algorithms or processes to analyze big data and create predictive models.

• Act as liaison for internal and external data sources for quantmental driven long/short investment team.• Design and develop automated and efficient ingestion methods and processes for a large number of heterogeneous data sources and convert data into the formats necessary to conduct alpha research and capture fundamental insights. • Develop algorithms or processes in Python, SQL and R to analyze big data and create predictive models. • Design complex data warehouse and stored procedures in SQL Server. • Build Tableau data visualizations to facilitate investment decision using Tableau Desktop and Server.

• Design and implement proprietary financial database including table structure, stored procedures, triggers. • Develop data-driven web site using PHP, PERL, JavaScript and postgreSQL. • Develop advanced financial algorithms, and conduct statistical analysis on insider ownership, institutional holdings and stock buyback data and other financial data.

• Provided in-depth research, advisory service and training to clients, based on their research needs. • Conducted sophisticated empirical analysis and manipulation of economic and financial data using financial databases. • Collaborated with internal groups such as Systems on various IT projects.

• Assisted in the migration of six databases with 140 tables, containing data on clinical protocols and clinical outcomes research, onto an institutional research informatics system (BioDBx) on tight deadline. • Primarily responsible for metadata and XSLT development and applied XML, JavaScript and Oracle 8i/9i technologies to complete these migrations.• Constructed various user interface components and features for the BioDBx system employing advanced technologies and programming languages, including JAVA and PL/SQL.