$80K - $100K(Ladders Estimates)
Bloomberg Portfolio Analytics (PORT) empowers the biggest players in the financial world to manage their portfolios, assess exposures, and make decisions that move the markets. Our flagship product on the Bloomberg Professional service is a mission-critical tool used daily by money managers, mutual funds, hedge funds, and pension funds around the world. PORT provides industry-leading quantitative financial tools and overnight batch report generation, enabling investment professionals to understand factors impacting the returns of their portfolio over time, monitor intraday market movements in real-time, estimate potential losses under extreme market conditions via stochastic risk analysis, and generate new trading ideas.
Our highly scalable system processes billions of data points and complex calculations each day. The enterprise use and scale of our product impose technical challenges around stringent latency, availability, and throughput metrics. We are experiencing tremendous growth of our product and user base, and we are constantly looking for innovate on top of our existing software and technologies.
As the newest expansion of Bloomberg's globally-distributed PORT Engineering department, PORT's San Francisco-based Data Transparency team applies data science-oriented tooling, such as Jupyter notebooks and Apache Spark, to enable and improve data transparency and quality across the PORT application stack. Our products help other PORT developers and SREs understand and validate the billions of data points that are consumed by our systems daily, ultimately improving the quality of that data for our end users.
Valid Through: 2019-10-18