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Job Description
Structured overview of role & requirementsAbout This Role
Architect and build scalable data pipelines processing billions of trade-level PV calculations for market risk analytics.
Develop high-performance aggregation jobs using Apache Spark and design intelligent data APIs for flexible data access.
Integrate NLP-powered query interfaces and build OLAP-based analytical tools to support senior stakeholders in decision-making.
Minimum Requirements
10+ years of programming experience in Python, Java, and/or Scala with expert-level SQL skills.
Expert hands-on experience with big data technologies, especially Apache Spark, and OLAP databases like Apache Pinot, Druid, or Trino.
Degree in a quantitative or technical field such as Computer Science, Financial Mathematics, or Financial Engineering.
Work Experience Required: 10+ years. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in financial industry with knowledge of market risk, derivatives, and risk calculations like VaR and Stress Testing.
Capable of leading technical projects and collaborating with senior business and quantitative stakeholders.
Skilled in embedding AI/NLP into large-scale data systems to enable intuitive data exploration and advanced analytics.
