
Associate, Portfolio and Electronic Trading Analyst Multiple Positions
NEW YORK, NY · HybridJob$113K/yrSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
The Associate, Portfolio and Electronic Trading Analyst performs quantitative equity trading analysis and provides real-time support to the equity portfolio trading desk. The role builds trading reports and maintains analytics systems and financial models, applying economics and finance principles to quantitative models for institutional equity basket trading. The position permits hybrid work and requires a master's degree and two years of relevant experience.
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Full job description
Associate, Portfolio and Electronic Trading Analyst (New York, NY Hybrid work permissible). (multiple positions). Perform quantitative equity analysis on trading performance to improve trading strategies for equity trading desk. Build ad-hoc trading reports by performing database inquiries utilizing quantitative and statistical analysis skills. Build programmatically and maintain the trading analytics systems (financial models) for the Equity Portfolio Trading desk using Java/SQL/VBA/Python. Apply principles of economics and finance to assist in designing and implement quantitative models to engage in trading equity baskets for institutional clients. Provide real-time financial quantitative support to the equity portfolio trading desk. Hybrid work permissible.Salary: $112,778 per year.Requires a Masters degree or foreign equivalent in Finance, Statistics, Financial Engineering, or related field, and two years (24 months) in the job offered or any position in which the required experience was gained. Also requires two (2) years of work experience with: 1) implementing trading systems and optimizing speed and signaling within those systems using Java; 2) analyzing historical market data and building financial models for trading using Python and VBA; 3) querying and managing the historical and real-time market databases used for research and analysis using SQL; 4) using Bloomberg terminal to access and analyze real-time market data to research and validate quantitative trading models, conduct market analysis, and perform initial data sourcing; 5) utilizing Bloomberg terminal APIs to deploy self-developed trading strategies into the production environment; and 6) using algorithmic trading models and data analysis to systematically transform financial theories into executable strategies, identify and exploit market trends, and perform post-trade analysis to optimize model parameters and diagnose performance. Send resume with cover letter to Oppenheimer & Co. Inc., Attention: J. Bridges ref#YW2026, [email protected]. No calls. EOE
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