A Day in Our Life

---

Responsibilities:

• Develop and optimize models, including AI inference and strategy generation models.

Requirements:

• Proficiency in SageMaker and deep learning frameworks (TensorFlow, PyTorch).

Responsibilities:

• Develop data processing pipelines and implement API integrations.

Requirements:

• Proficiency in AWS services (Neptune, DynamoDB, Lambda) and Python.

Responsibilities:

• Manage product development timelines and coordinate cross-department activities.

Requirements:

• Experience in fintech projects.
• Familiarity with Agile development methodologies.

Responsibilities:

• Perform data cleaning and analyze market data.

Requirements:

• Understanding of financial markets.
• Proficiency in SQL and Python.

Responsibilities:

1. Oversee daily operations of the options trading desk and monitor strategy execution.
2. Ensure adherence to the company’s risk management framework and compliance standards.
3. Collaborate with AI systems to adjust strategies in real-time based on market conditions.
4. Provide feedback on strategy outcomes to optimize AI models in partnership with the technical team.
5. Monitor market trends and options liquidity while preparing regular analysis reports.
6. Deliver market insights to clients and internal teams.
7. Operate trading platforms and data tools such as Bloomberg Terminal and Options Analytics Tools.
8. Demonstrate strong risk management awareness and compliance knowledge.
9. CFA, FRM, or equivalent certifications are preferred.

Responsibilities:

• Provide technical guidance on Palantir Ontology and data analysis frameworks.
• Ensure the platform leads in knowledge management, data processing, and decision support.

Responsibilities:

• Advise on AI LLM and AI Agent development and deployment.
• Focus on inference optimization and agent architecture design.

Responsibilities:

• Provide expertise in options trading, including strategy development, risk management, and hedge design.
• Assist in optimizing AI models’ trading logic.