Equity Derivatives Operations Associate – NYC

Obra Capital; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) plan with company match

Daily lunch stipend

Job summary

Obra Capital in New York is seeking an Associate, Derivatives Operations to join its New York office. The role supports the firm’s growing credit platform and expansion into equity derivative securities, including options, futures, forwards, synthetics, ETFs, and related instruments.

This position sits within the middle office and collaborates with portfolio managers, traders, and internal teams to optimize trade lifecycle, valuation, and reporting while advancing workflows through data analysis

Qualifications

• Bachelor’s degree in Accounting, Finance, Economics, or related field.
• 3–6 years in middle office or operations in asset management.
• Hands-on equity derivative settlement, valuation, and administration.
• Experience with Enfusion is a plus.
• Advanced Excel skills (PivotTables, formulas).
• Familiarity with Bloomberg and market data platforms.

Responsibilities

• Support daily middle office processes for equity derivatives trading.
• Oversee the full trade lifecycle: capture, confirmation, settlement, reconciliation.
• Collaborate with traders, PMs, and service providers to resolve breaks.
• Review valuations, reconciliations, and position verification.

Skills

Excel

Bloomberg

Data analysis

Trade lifecycle

Education

Bachelor’s degree in Accounting/Finance/Economics

Tools

Enfusion

Job description

Obra Capital in New York is seeking an Associate, Derivatives Operations to join its New York office. The role supports the firm’s growing credit platform and expansion into equity derivative securities, including options, futures, forwards, synthetics, ETFs, and related instruments.

This position sits within the middle office and collaborates with portfolio managers, traders, and internal teams to optimize trade lifecycle, valuation, and reporting while advancing workflows through data analysis