Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro location offset by niche big-data and seniority requirements.
Role requires deep big-data, OLAP, and market-risk knowledge, limiting cross-industry transferability.
10+ years and mandatory Spark, OLAP, API, and domain expertise create high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and build scalable data pipelines to ingest and process billions of trade-level PV calculations using Apache Spark.
Develop intelligent data APIs and integrate NLP capabilities to enable flexible, query-based access to complex risk analytics.
Collaborate with senior stakeholders in Markets and Risk to deliver high-performance analytics platforms for market risk calculations and 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.
Proven experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.
Degree in a quantitative or technical field (e.g., Computer Science, Financial Mathematics, Financial Engineering).
Ideal Candidate Profile
Experienced in financial industry risk analytics with understanding of market risk, derivatives, and risk calculations like VaR, Stress Testing, PV.
Strong background in core computer science concepts including data structures and algorithms, with ability to debug complex data issues.
Comfortable leading technical projects and collaborating directly with senior business and quant stakeholders to translate analytical needs into innovative solutions.