Senior Manager - Technology - Futures & Options Domain
Reporting To: CTO / CEO
Job Summary:
We are looking for a strategic and technically strong Manager - Technology to lead our technology function for the Futures & Options (F&O) division.
This role involves overseeing the development and implementation of robust, low-latency trading platforms and ensuring alignment betweenctechnology and business strategy in the derivatives market.
Key Responsibilities:
- Lead the end-to-end technology strategy for F&O trading, ensuring alignment with regulatory, risk, and operational requirements.
- Manage software architecture, infrastructure, development, and deployment of trading platforms and analytics tools.
- Collaborate with trading, quant, and risk teams to build scalable, high-performance systems.
- Ensure technology systems are secure, compliant, and optimized for speed and reliability.
- Lead and mentor a team of developers, DevOps engineers, and technical analysts.
- Evaluate and integrate emerging technologies such as AI, ML, and blockchain where applicable.
- Drive automation, system upgrades, and ensure minimal downtime of mission-critical platforms.
- Manage relationships with technology vendors and ensure robust data and system integration.
Required Qualifications:
- Bachelor's/Master's degree in Computer Science, Engineering, or related field.
- 6+ years of experience in technology leadership roles, with at least 4-5 years in financial services or capital markets.
- Strong understanding of derivatives, particularly Futures & Options trading, clearing, and settlement workflows.
- Expertise in system architecture, high-frequency trading systems, and low-latency infrastructure.
- Proficiency in programming languages such as Python, Java, C++, or Scala.
- Hands-on experience with cloud services (AWS, Azure), DevOps tools, and microservices architecture.
- Demonstrated ability to lead technology transformations in fast-paced environments.
Preferred Skills:
- Experience working with exchanges (NSE, BSE), FIX protocol, and OMS/EMS systems.
- Knowledge of cybersecurity best practices in financial systems.
- Familiarity with AI/ML-based
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