2 months ago
Pune, IndiaSenior / Staff+
Responsibilities
- Architect and build scalable data pipelines that ingest and process billions of trade-level PV calculations.
- Develop and optimize large-scale Apache Spark aggregation jobs.
- Design and deliver intelligent APIs for aggregated and non-aggregated risk data access.
- Integrate NLP capabilities for query-based data exploration and analytics.
- Load and model large datasets in Apache Pinot, Apache Druid, and Trino.
- Build interactive analytical tools and dashboards with summary views and rapid drill-down capabilities.
- Partner with Front Office, quantitative teams, and Risk Management stakeholders to deliver analytics solutions.
Requirements
- 8–12 years of experience.
- Strong programming skills in Python, Java, and/or Scala, with expert-level SQL.
- Expert hands-on experience with big-data technologies, particularly Apache Spark.
- Experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.
- Strong computer science fundamentals, including data structures and algorithms.
- Experience or strong interest in applying Natural Language Processing to data access and analytics.
- A degree in a quantitative or technical field such as Computer Science, Financial Mathematics, or Financial Engineering.
- Experience in financial services, including market risk, derivatives, and risk calculations such as VaR, stress testing, and PV, is highly desirable.
- Exceptional problem-solving, independent working, technical project leadership, and stakeholder communication skills.
Tech Stack
Categories
BackendData Engineering
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.