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Risk managementCFAExcelPythonCommunication
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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Employer is on a government sponsor recordUSCIS Data Hub records 16 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- USCIS Data Hub records 16 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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About the role
Summary
We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space.
Role/Responsibilities:
• Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives.
• Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters.
• Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment.
• Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation.
• Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity.
• Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management.
• Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits.
• Track and analyze P&L drivers on a daily basis and provide attribution reports.
• Hedge exposures dynamically using equity, credit, and derivative instruments.
• Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies.
• Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution.
Requirements :
• Bachelor’s degree in finance, economics, mathematics, engineering, or related field; advanced degree or CFA preferred.
• 3+ years of experience in convertible bond trading with a quant/programming skillset.
• Strong understanding of credit markets, bond math, equity derivatives, and volatility analysis.
• Proficiency in modeling convertible securities and scenario analysis.
• Familiarity with risk management systems and trading platforms (e.g., Bloomberg, Tradeweb).
• Strong analytical and quantitative data skills; proficiency in Excel and at least one programming language (Python, R, VBA) is required.
• Excellent communication skills and ability to work in a fast-paced, team-oriented environment.
• Commitment to the highest ethical standards.
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