Trader Remote Jobs in Connecticut (US)
This page tracks remote trader openings that are location-eligible for Connecticut.
This page tracks remote trader openings that are location-eligible for Connecticut.
Open jobs
4
Hiring companies this week
3
Salary sample
$1,000 - $120,133
Jobs added last hour
0
4 Jobs
4 Companies
The breakthrough smart contract ecosystem ushering in the next era of money, powering DeFi, RWAs, and other Web3 apps.
• Actively trade on Sai and share your real PnLs, setups, and trade ideas on X multiple times per week • Post about Sai consistently in your regional trading communities: Telegram groups, X Spaces, local crypto forums • Onboard traders from your network to Sai, walk them through the platform, and help them get their first trade in • Grow Sai's X following with real, active traders from your region • Drive measurable trading volume through your personal network and community • Represent Sai at local crypto events and meetups when relevant • Provide on-the-ground feedback on what traders in your market care about, what competitors are doing, and what Sai should be saying
• Use quantitative methods to systematically build medium-frequency portfolios • Develop systematic strategies across various asset classes • Apply machine learning and statistical techniques to trading • Simulate and execute strategies on the Trexquant Alpha Platform
• Develop, maintain, and expand strong relationships with customers, global suppliers, internal trading and operations teams, third-party service providers, and senior management. • Identify and execute new commercial opportunities, transaction structures, and market strategies that support business growth and profitability. • Formulate and present competitive commercial proposals based on market dynamics, competitor activity, company positioning, and short- and long-term strategy. • Execute spot and long-term purchase and sale agreements for physical base metals while managing related price exposure through futures and options on global exchanges, including the LME and CME. • Monitor macro and micro market trends, forward curves, volatility, inventory levels, desk positions, and P&L to support informed commercial decisions and effective risk management. • Provide regular market updates and insights to trading teams, peers, and senior management. • Oversee the full trade lifecycle, including trade capture, confirmations, logistics, settlements, and dispute resolution. • Coordinate with operations teams to ensure efficient movement of commodities from suppliers to end users while optimizing capital consumption, shipping, delivery, return on capital, and profitability. • Negotiate commercial terms with suppliers and counterparties to optimize P&L and capital utilization. • Ensure trading and operational activities comply with technical, internal, legal, and federal requirements. • Travel to customers, suppliers, and industry events as needed, approximately 20–40%.
Our mission is to deliver cheaper, more reliable, cleaner energy to the world.
• Manage and optimize a natural gas trading portfolio focusing on Midwest and Rockies markets. • Initiate, develop and execute strategies to capture profitable term natural gas trading opportunities within the Midwest and Rockies region. • Monitor and evaluate relevant market conditions, pivoting in/out of trades as necessitated by market conditions. • Evaluate existing trading processes and collaborate with trading personnel to improve efficiency, transparency and value-added measures. • Evaluate, execute, and manage short and long-term storage positions across the Midwest and Rockies, optimizing around seasonal spreads, and power and industrial load to create incremental value. • Use experience to develop optimization and trading strategies and direct origination efforts to execute these strategies. • Clearly communicate summaries of relevant market conditions & opportunities upward within the organization. • Primary responsibility for establishing and executing trading strategies to optimize the value of EQT's contractual pipeline capacity & storage assets.
Numpy, Pandas, Python
