3 months ago
Pune, IndiaSenior
Responsibilities
- Architect and build scalable data pipelines for billions of trade-level risk calculations.
- Develop and optimize large-scale aggregation jobs using Apache Spark.
- Design intelligent APIs for aggregated and non-aggregated risk data access.
- Integrate Natural Language Processing capabilities into data exploration interfaces.
- Load and model datasets in Apache Pinot, Apache Druid, and Trino.
- Build analytical tools and dashboards with summary views and drill-down capabilities.
- Partner with front-office, quantitative, and risk stakeholders to deliver analytics solutions.
- Debug complex data and access issues and lead technical projects.
Requirements
- Degree in a quantitative or technical field such as Computer Science, Financial Mathematics, or Financial Engineering.
- 5+ years of relevant experience using Core Java, Apache Spark, and big data technologies such as Hive.
- Strong programming skills in Java and/or Scala and expert-level SQL.
- Experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.
- Strong knowledge of data structures, algorithms, systems analysis, and software application programming.
- Experience managing and implementing successful projects.
- Working knowledge of consulting or project management techniques and methods.
- Experience or strong interest in applying Natural Language Processing to data access and analytics.
- Financial-industry experience with market risk, derivatives, VaR, stress testing, or Present Value calculations is highly desirable.
- Ability to work independently, manage deadlines, handle changing requirements, and communicate with senior business and quantitative stakeholders.
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.