Senior Trader – Quantitative Market Making Position Available In New York, New York

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Company:
Sg Americas Securities
Salary:
JobFull-timeOnsite

Job Description

Develop production models for systematic market making activity, conduct ad-hoc quantitative analysis to explain performance or behavior of instruments in market microstructure that will help increase Principal Trading capacity, minimize risk, and improve overall client service. Develop algorithmic trading offering on the U.S. markets for domestic and international clients by expanding product offer on both domestic and international underlying baskets. Develop models to statistically predict instrument fair value at different time horizons. Design tools and methodologies that will help analyze market behavioral patterns and design custom signals to be used as input for algorithmic market making models. Fine-tune existing proprietary statistical analysis tools to enable a detailed understanding of American instruments. Operate and enhance the Risk Model to assess the risk profile of any given existing or new strategy. Conduct quantitative analysis on executed data to provide understanding of how the performance was realized compared to expectations.

Perform Post trade processing and risk monitoring.

MINIMUM REQUIREMENTS

Master’s degree or U.S. equivalent in Mathematics, Statistics, Economics, Finance, or related field. plus 3 years of professional experience as an Algorithmic trader, or any occupation/position/job title involving performing equity and equity derivative algorithmic low latency market making Must also have the following: 3 years of professional experience performing equity and equity derivative low latency algorithmic trading in a principal desk within a global financial bank. 3 years of professional experience performing derivatives market making activity building, evolving algorithmic approach to optimize risks and costs, and validating the profitability of strategies and deriving their optimal parameters by conducting back-tests using historical financial data (including historical intraday prices and volumes). 3 years of professional experience running low latency trading projects, drafting algorithmic needs, validating new pieces of the trading platform, and managing technology resources. 3 years of professional experience performing high-throughput time series analysis and research using linear and non-linear models (including multivariable linear regression, Lasso/Ridge regression, and Principal Component Analysis) to extract statistically significant biases used in systematic trading strategies. 3 years of professional experience performing risk pricing and trading equity derivative products with domestic and international underlying baskets for external clients. 3 years of professional experience writing C# or C++ code. 3 years of professional experience writing Python or R code for statistical modeling.

Minimum Salary:

200,000

Maximum Salary:

275,000

Salary Unit:

Yearly

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