01Key Responsibilities
Develop and maintain complex SQL queries and Python scripts to support analytics across trading, risk, and reference data.
Partner with trading, risk, and compliance teams to convert business requirements into scalable technical solutions.
Automate manual workflows and assist in building internal tools for trade processing and reconciliation.
Contribute to post-trade optimization efforts with a focus on T+1 settlement and evolving regulatory reporting needs.
Create and maintain technical documentation, data dictionaries, and internal control frameworks.
Support cross-functional initiatives to improve data transparency and operational workflows.
Must-Have Skills:
48 years of experience in capital markets, preferably within trading, risk analytics, or operations.
Strong command of SQL (advanced queries, data aggregation) and Python for analytics and automation.
Sound understanding of financial instruments such as equities, fixed income, and derivatives.
Familiarity with the trade lifecycle, market data structures, and post-trade processes.
Exposure to regulatory frameworks such as T+1, Dodd-Frank, or Basel is advantageous
Excellent problem-solving, communication, and stakeholder management skills
Proficiency in data visualization tools like Power BI or Tableau is a plus.
Experience with cloud platforms such as Azure or AWS is desirable.
Bachelors or Masters degree in Finance, Economics, Computer Science, or related fields.
Additional Information:
This job description summarizes the core responsibilities and qualifications of the position. It is not an exhaustive list of all possible duties. Other responsibilities may be assigned as required.
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