About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
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Seeking a senior Spark Java Developer with expertise in big data processing , Python and Apache spark particularly within finance domain. Candidate should have a strong experience working with financial instruments, market risk and large scale distributed computing systems.
This role involves developing and optimizing data pipelines for risk calculations, trade analytics and regulatory reporting .
Key responsibilities
- Develop and optimize scalable Spark Java-based data pipelines for processing and analyzing large scale financial data
- Design and implement distributed computing solutions for risk modeling , pricing and regulatory compliance
- Ensure efficient data storage and retrieval using Big Data
- Implement best practices for spark performance tuning including partition, caching and memory management
- Maintain high code quality through testing , CI/CD pipelines and version control (Git, Jenkins)
- Work on batch processing frameworks for Market risk analytics
Qualifications and Skills
- 10 years + of experience in software development with at least 5 years of experience in Spark Java and Big data frameworks
- Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc)
- Experience working in financial markets , risk management and financial instruments
- Familiarity with market risk concepts including VaR, Greeks, scenario analysis and stress testing
- Hands on experience with Hadoop, Spark
- Proficiency on Git, Jenkins and CI/CD pipelines
- Excellent problem solving skills and strong mathematical and analytical mindset
- Ability to work in a fast paced financial environment
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
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View the EEO Policy Statement.
View the Pay Transparency Posting
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What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
