Solution Brief-Financial Services Financial Modeling Extreme Flexibility Meets Enterprise Performance Ufora is a research and analysis solution that feels like an experimentation environment with industrial-scale software performance. Your models are scalable, fast, and agile the instant you write them. Built by former Wall Street quants, Ufora reimagines the data analysis workflow, so users can change assumptions in realtime, test hundreds of scenarios simultaneously, aggregate terabytes of data from Bloomberg and Thomson Reuters, deploy computations across hundreds of machines, and iteratively refine models with colleagues–all from a single interface, in minutes. The Ufora analytics platform uses an intuitive interface that can be effortlessly deployed and accessed via standard web browsers. Implicit Parallelism From the Ground Up Ufora is implicitly parallel, which eliminates the trade-off between systems that are fast and scalable, and systems that are easy-to-use. With Ufora, data scientists can code in the browser on a single machine, while running their computations on an entire cluster. While other platforms offer parallel add-ons and toolboxes, Ufora is built from the ground up to optimize parallelization of heavy computations, making Ufora as flexible and scalable as other platforms, but much faster. Scalable (e.g. Hadoop) Fast (e.g. C++) * Flexible (e.g. Python) Solution Brief-Financial Services Financial Modeling Financial Modeling Financial institutions rely on their ability to accurately price complex financial instruments in a continuously changing financial environment. But results are technology-limited, forcing data science teams to subdivide or subsample data, tolerate lower accuracy thresholds, or wait for 3-hour computations. Derivatives Pricing Ufora is a technology-enabling platform, where analysts can run stochastic volatility models, like Heston Monte Carlo, simultaneously on hundreds of thousands of path simulations in minutes. The GARCH model and payoff integrals with Gaussian quadratures run in seconds. Risk & Portfolio Management Finding signals in historical data that others can’t find and managing a portfolio’s risk exposure are two critical and computationally intensive processes that financial institutions face on a daily basis. Using Ufora, analysts can compute covariance matrices for 30,000 stocks or calculate the Greeks for an entire portfolio without the wait. And sharing these results and the underlying models with colleagues is seamless. Maintain Competitiveness Just computing complex financial models isn’t enough; institutions have to be able to maintain their ability to adapt faster than their competitors. Current solutions create unnecessary trade-off’s between scale, speed, and flexibility. But in an industry that needs all three these status-quo solutions are painful. Ufora bridges the gap by providing intuitive, agile solutions that are extremely fast and scalable. Ufora Speedup vs. Mathematica Heston Model Monte Carlo Simulations 40 Ufora Speedup vs. M 35 30 25 20 40X 15 10 2.4X 5 0 Ufora Speedup Implicit Parallelism 200k Paths Ufora Speedup Single Machine 100k Paths Ufora’s smart compute engine implicitly parallelizes any algorithm. For instance, Ufora creates a 2.4X speedup vs. Mathematica when running a 100k-path Heston model Monte Carlo simulation on a single machine, and a 40X speedup when running a 200k-path model on 32 machines. Features • In-browser IDE • Implicitly Parallel for any algorithm • Just-in-time compilation speeds computation • 40% less code and • >40x faster than Mathematica • Deployable in the cloud or onpremises • Painless data integration • Flexible like Python • Fast like C++ LEARN MORE Email us at [email protected]