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Multiple amplifiers: strong global brand, Bangalore metro, mid-level generalist quant role with broad tech requirements.
Finance-specific quant trading analytics and TCA focus limits cross-industry transferability.
Explicit 0–4 years plus required SQL/React and domain experience makes screening moderately strict.
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Develop and maintain transaction cost analysis (TCA) frameworks and real-time trading research dashboards for fixed income and equity products to improve execution quality.
Analyze broker performance metrics and market microstructure research to optimize execution strategies and routing decisions.
Aggregate large execution datasets to build scalable analytics pipelines and collaborate with traders to quantify trade impacts on execution and PnL.
0–4 years of experience in quantitative analytics, data engineering, or financial modeling.
Bachelor’s degree in a quantitative field such as Engineering, Mathematics, or Finance.
Proficiency in SQL and React; Python experience is beneficial.
Experience with analytics platform development and cloud technologies such as Azure Cloud, Snowflake, or Streamlit.
Has practical market insight combined with strong technical skills to translate complex trading data into actionable intelligence.
Able to partner closely with trading desks and cross-functional teams to align analytics solutions with business priorities.
Experience or strong understanding of asset classes, investment strategies, portfolio construction, and risk analytics frameworks.