Broker jobs in United States
Energy Quant Trader & Researcher
Alexander Chapman
Associate, Trader, Securities Finance
CPP Investments | Investissements RPC
Asset & Wealth Management - Fixed Income, Money Market Trader - Analyst - London
Goldman Sachs Group, Inc
Flow Derivatives Trader (m f x)
E Fundresearch
Broking Platform Product Analyst
Willis Towers Watson
Multi-Skilled Trader - Carpenter
Babcock International
Global Credit Solutions - Credit Trader - Associate
J.P. Morgan
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HEAD OF COMMERCIAL INSURANCE BROKING
Clark James Recruitment
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Samuel and Co Trading LTD
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Samuel and Co Trading LTD
Asset & Wealth Management - Fixed Income, Money Market Trader - Analyst - London
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Remote Junior Forex Trader
Samuel and Co Trading LTD
Head of Broking
Equation Recruitment
High Yield & Distressed Fixed Income Sales Trader
The Opportunity Hub UK
Trader - Soft Commodities (Cotton)
DV Trading LLC
Flow Derivatives Trader (m f x)
E Fundresearch
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People First Team Japan/?
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Barbara Houghton Associates
Energy Quant Trader & Researcher
Job summary
A financial services company in the United Kingdom is seeking a candidate to research and develop quantitative trading strategies for energy markets. Responsibilities include analyzing datasets to identify market patterns and collaborating with team members. Candidates should have a strong background in computer science and experience with algorithmic trading. This role offers the opportunity to work at the intersection of finance and technology.
Qualifications
- Strong background in computer science, quantitative analysis, and machine learning.
- Experience with algorithmic trading and predictive modeling.
- Familiarity with energy markets, financial instruments, or commodities trading is preferred.
Responsibilities
- Research and develop quantitative trading strategies for energy markets.
- Analyze large datasets to identify market patterns and optimize trading algorithms.
- Collaborate with team members on strategy development and performance evaluation.
Skills
- Research and develop quantitative trading strategies for energy markets using machine learning and statistical modeling
- Analyze large datasets to identify market patterns, optimize trading algorithms, and manage risk
- Collaborate with team members on strategy development, backtesting, and performance evaluation
- Strong background in computer science, quantitative analysis, and machine learning
- Experience with algorithmic trading, predictive modeling, and data-driven decision-making
- Familiarity with energy markets, financial instruments, or commodities trading preferred
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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