Senior Java Engineer with Big Data, VP (hybrid)

  • Full-time
  • Company: Citi

Company Description

Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: Citi

Job Description

Citi is a global financial services company that serves over 200 million customer accounts in more than 100 countries. We provide a wide range of financial products and services to consumers, corporations, governments, and institutions. This includes consumer banking, credit, corporate and investment banking, securities brokerage, and wealth management.

We are currently looking for candidates to join our Financial Risk Technology Team in Citi’s Institutional Clients Group (ICG). Our goal is to create a culture of engineering and delivery that prioritizes the needs of our business while meeting the complex demands of a global bank like Citi. This team is responsible for developing technology and software solutions for market and credit risk management in Citi’s Front Office and Back Office Risk Management. These solutions include processing engines for market data, pricing calculation engines, and big data lakes for risk metrics and stress testing results. Joining this team will provide candidates with an exciting opportunity to work on cutting-edge software solutions for risk management using the latest technology.


Key Responsibilities:
  • Lead the design and implementation of big data frameworks and solutions
  • Manage a global team of software engineers, delivering solutions for Citi’s Market Risk user community
  • Ensure that solutions meet architectural and data model standards
  • Enforce SDLC best practices for effective code management
  • Collaborate with other teams and influence key decisions for robust software solutions

Skills:
  • Strong knowledge of Java programming
  • Extensive experience with Spark programming for big data development
  • Familiarity with big data technologies like Hive and Spark
  • Experience in designing solutions using big data and Spark
  • Scripting skills and familiarity with Linux
  • Scala knowledge is a plus

Knowledge & Experience:
  • Proven engineering experience in the Capital Markets Technology industry
  • At least 10 years of application development experience
  • Minimum 5 years in a technical leadership role, managing global technology teams
  • Minimum 5 years of hands-on experience with Big Data development using Spark and Hive
  • Experience in Market Risk is preferred
  • Knowledge of Hadoop ecosystem

Competencies:
  • Excellent communication skills in English
  • Strong leadership abilities
  • Effective collaboration in a global team and ability to influence decisions
  • Ability to work well under pressure

Education:
  • Graduate in a STEM (Science, Technology, Engineering, and Mathematics) discipline. Master’s degree is a plus

This job description provides an overview of the responsibilities. Other duties may be assigned as required.

Job Family Group: Technology
Job Family: Applications Development
Time Type: Full time
Primary Location: Jersey City, New Jersey United States
Primary Location Salary Range: $137,610.00 - $206,420.00

Citi is an equal opportunity and affirmative action employer. We welcome applicants from diverse backgrounds and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We encourage all qualified individuals to apply for our career opportunities. If you require a reasonable accommodation to use our application tools, please review our accessibility policy on our website. Please Note: This job ad is available in multiple formats for accessibility purposes.

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