Vichara Technologies is a niche technology services and solutions firm focused on solving complex Capital Markets challenges. Vichara’s solutions include valuation, analytics and risk management for fixed income asset classes with special focus on structured products (RMBS, CLO, CDO, CMBS/CRE, Whole Loans). vLens, our mortgage data platform allows for analysis of large mortgage data sets. Our philosophy is to provide most granular, accurate and timely analysis. Our clients take advantage of having insights before their competitors. We aim to provide exactly what you want and increase your productivity many folds by streamlining your investment process. Vichara also provides technology consulting, custom software development, system integration and infrastructure management services. Over the last decade, Vichara has built mission critical enterprise systems for securities trading, portfolio management, asset securitization, trading analytics, modeling, risk management, accounting and financial operations for many of the world’s leading financial institutions across the globe.

Job description

Company Description

Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world.

Job Description

The quant team is responsible for providing valuation and risk calculations for all products traded by the firm (primarily rates, foreign exchange and credit) across a variety of applications. The team is implementing a new quantitative analytics library and are looking for an individual to drive the technology.
Quantitative Modeling: Expand product and market coverage to address evolving client needs by researching, implementing and rolling out new rates models.
Analytical Support: Maintain existing models, interact with client portfolio managers, traders and risk managers.
Test models and explain any differences with expected results

Qualifications

5+ years of quantitative model development experience using Python Quantlib and C++
A Degree in a Quantitative Field:
Experience in Bonds and interest rates derivatives (swap, swaptions, CMS spread options, midcurves, etc) and modeling (short rate, Libor Market Model)
Exposure to curve building and stochastic volatility models.
Expertise in stochastic calculus and numerical methods such as Monte-Carlo simulation, finite difference schemes.