Base Salary Range: $99,000 - $200,000 per year.
Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience.

Trader (Quantitative Trading and Research) (SG Americas Securities, LLC, New York, NY)

Use advanced statistical/mathematical techniques to perform extensive data analysis with the purpose of generating systematic trading strategies used in equity market-making activities. Work closely with the other trading team members to generate new systematic trading strategies and backtest their profitability. Work closely with IT resources in real-time market accesses and algorithmic development to explain needs and validate releases of resources. Utilize operational resources to investigate, correct and validate operational issues (including referential, booking, and valuation). Stay abreast of corporate action events and evaluate their impact on index/ETF compositions. Evaluate company filings and news feeds to automatically extract valuable information for systematic trading. Telecommuting may be permitted. When not telecommuting must report to SG Americas Securities, LLC, 245 Park Ave., New York, NY 10167. Salary: $99,000 - $200,000 per year.

LOCATION: SG Americas Securities, LLC

245 Park Avenue

New York, NY 10167

Trader (Quantitative Trading and Research) (SG Americas Securities, LLC, New York, NY)

MINIMUM REQUIREMENTS: Master’s Degree or U.S. equivalent in Finance, Statistics, Financial Mathematics, Financial Engineering, Computer Science, Computational Finance, or a related field plus 3 years of professional experience working for a global financial institution performing quantitative trading and research on equity space, market microstructure and impact cost/liquidity models for American equity exchanges (including USA, Canada, and Brazil), low latency algorithmic electronic market-making of linear equity products, and linear equity derivative trading and pricing both domestic (US) and international. Must also have experience with the following special skills: 3 years of professional experience with non-linear (machine learning and kernel methods) models, to optimize automated decision making; 3 years of professional experience programming in low latency object-oriented environment and running high performance trading applications; 3 years of professional experience performing high-throughput time series analysis, signal generation and analysis and datamining to extract statistically significant biases that can be used in systematic strategies and validating them through in-depth historical data back testing; 2 years of professional experience using statistical programming languages (including Python or R) to extract metrics from dataset.

Trader (Quantitative Trading and Research) (SG Americas Securities, LLC, New York, NY)

OUR CULTURE:
At Societe Generale, we live by our 4 core values of commitment, responsibility, team spirit and innovation. We are engaged and demonstrate consideration for others. We act ethically and with courage. We focus our talent and energy on collective success. We experiment and propose new ideas. This way, we maximize our ability to serve client needs and anticipate market changes. Societe Generale is committed to strengthening bonds with colleagues, communities, and the world in which we live, because relationships are at the heart of how we operate.

D&I:
Our Diversity & Inclusion Mission: Recruit, develop, advance, and retain a diverse workforce that is united in our efforts to enhance our competitive position and deliver innovative solutions to our clients.

For more information about our D&I initiatives, please visit this link (https://americas.societegenerale.com/en/societe-generale-about/diversity-and-inclusion/)

HYBRID WORK ENVIRONMENT:
Societe Generale offers a hybrid work arrangement that offers employees the flexibility to work remotely, as well as on-site, in order to promote interaction and collaboration with colleagues while adhering to all SG standard protocols. Hybrid work arrangements vary based on business area. The applicable Business lines will determine and communicate the work arrangements that best meet their business needs.

CONTACT: Please email resume to: us-humn-recruitment@sgcib.com. Must specify Ad Code ELMS in the subject line.

LINK TO EMPLOYEE REFERRAL PROGRAM:

Incentives offered through the firm's Employee Referral Program are applicable to this position. For more information, please visit our "Employee Referral Program" link in the Human Resources section of our intranet under the Talent Management tab at: http://entrenet.us.world.socgen/support_groups/human_resources/talent_management/employee_referral_program.html.

Societe Generale is an equal opportunity employer, and we are proud to make diversity a strength for our company. We are committed to recognizing and promoting the talents and achievements of our employees and staff, regardless of race, religion, color, national origin, sex, disability, age, gender, sexual orientation, and any other characteristic or status protected under applicable law.