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Specific experience with commodity market risk management at leading commodity trader / bank / hedge fund or a masters or greater degree equivalent in a relevant field of study in lieu of experience.
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Prior experience working in a quantitative research role at a hedge fund or financial institution is a plus. Stay abreast of the latest developments in deep learning, machine learning, and quantitative finance research, and apply cutting-edge techniques to solve complex financial problems.
$145,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Preference for previous experience with pricing derivatives (equities, rates, fx, or commodities) at a hedge fund, bank, or proprietary trading firm. You will work closely with the other teams within Investments - Trading, Trading Operations, Business Development, Quantitative Research, etc.
$83,000 - $127,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Previous experience working in a quantitative research or independent PM role at a hedge fund or proprietary trading firm. - 2-8 years of experience in quantitative finance, preferably with a focus on equities/futures markets and alpha research.
Starting at $250,000 - $400,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Teza is a systematic quantitative hedge fund. Collaborate with fund administrators to ensure that all investor documentation (e.g. subscription agreements, relevant AML/KYC documents) - and wire transfers are received on time.
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Assess the credit and financial strength of the firm's hedge fund, mutual fund and private equity fund counterparts by performing fundamental credit analysis of counterparties using both quantitative and qualitative factors.
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The team members will implement statistical, machine learning, and quantitative financial models, applied to a combination of proprietary, public, and third-party data, to deliver analytics for multi-asset portfolios including alternative assets such as hedge fund, private equity, private credit, real estate, and digital assets.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A Ph. D. in computer science, statistics, engineering, physics and econometrics or other quantitative science; and professional experience at a hedge fund, prop trading firm or investment bank focused on quantitative analysis, trading system development or algorithmic execution.
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Designed with a focus on enabling professionals to effectively scale their trading businesses, T3 includes a diverse community of individuals with backgrounds in investment banking, quantitative trading, private equity, hedge funds, and other non-finance fields.
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Minimum of 5 years of experience in a similar role, preferably at a proprietary trading firm, hedge fund, or investment bank (or equivalent experience). A bachelor’s degree in Finance, Mathematics, Engineering, or a related quantitative field.
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Team members bring experience from investment banking, quantitative trading, private equity, hedge funds, and non finance backgrounds. Experience trading in a hedge fund or other proprietary trading business.
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Our client, a growing hedge fund based in New York, NY, is seeking at Data Analyst with Alteryx experience to join their Finance team. Background in Finance, Economics, Mathematics, Quantitative Finance required.
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Experienced staff including trading support from 4am-8pm, finance/accounting, and technology experts to help you grow your trading book. Deep balance sheet with robust access to capital to help fund your trading ideas.
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Collaborative environment for directional trading, algorithmic trading, and high frequency trading strategies. T3 Trading Group, LLC is an SEC-registered broker-dealer & member of FINRA/SIPC. We are recruiting experienced proprietary traders and seasoned active trading professionals looking to make the next investment in their career.
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Experience with hedge fund PNLs, recon and settlements. The right fit for this role will come from a hedge fund background where they have bridged technology and operations, including PNL, back office settlements and technology platforms.
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