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.

　　Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

　　The Role:

　　The Senior Info Sec Data Engineer is a senior level position responsible for driving efforts to prevent, monitor and respond to information/data breaches and cyber-attacks. The overall objective of this role is to ensure the execution of Information Security directives and activities in alignment with Citi's data security policy.

　　The Team:

　　In support of the Cyber Security Fusion Center (CSFC) mission, the Technology Data & Analytics team is responsible for researching, developing, and deploying various technologies and analysis products. As such, desired staff members are responsible for developing various solutions and automation capabilities to support the timeliness and efficiency of visualizing the CSFC data gathered from a variety of Intelligence sources. In support of the data analytics groups the following are the main responsibilities for the data analyst supporting Big Data and Statistical Modeling technologies, methodologies, and techniques.

　　Responsibilities

　　Determine database structural requirements by analyzing client operations, applications, and programming, while reviewing objectives with clients and evaluating current systems

　　Processing large amounts of structured and unstructured data

　　Effectively use data to visualize and communicate findings while maintaining data confidentiality, integrity and availability

　　Develop corrective action language for Information Security (IS) gaps and ensure risk closure meets Citi requirements or industry best practices

　　Facilitate the implementation of approved IS tools and identify/recommend new or improved security solutions or emerging technologies

　　Mitigate risk by analyzing the root cause of issues, impacts to business, and required corrective actions and develop security solutions

　　Ensure IS compliance and seek opportunities to enhance the efficiency of IS policies and procedures

　　Identify significant IS threats and vulnerabilities, and define appropriate controls for discovered threats, documenting the business response

　　Disseminate changes to IS regulations and standards to Business and Program owners

　　Provide Information Security advice and counsel as needed

　　Qualifications

　　6-10 years' experience utilizing all or most of the technologies and processes below

　　Experience working in Linux environments (bash, zsh, writing cron jobs, use of systemctl for maintenance, setting of environment variables, etc.)

　　Experience with RedHat Enterprise package management (yum)

　　Experience with SSH clients (preferably Tectia) for terminal access and file transfer

　　Previous experience with or exposure to machine learning toolsets such as H2O, DataRobot, or SparkML

　　Ability to analyze new data sources and create/modify databases to onboard data to SQL and NoSQL Databases

　　Strong proficiency in any variant(s) of SQL

　　Experience with graph and NoSQL databases

　　Programming expertise, ideally in Python, Spark, Java or Kafka but not limited to them

　　Data analysis skills, including but not limited to use of Excel/Google Sheets, MS Access and business intelligence tools (Tableau, Microsoft PowerBI, Microstrategy) to analyze static data sets

　　Experience working in the Hadoop ecosystem and working with MapReduce

　　Experience supporting and troubleshooting data engineering/ETL processes in production environments

　　Persistence and tenacity in chasing down elusive issues across multiple layers of a complex ecosystem

　　Strong understanding of correlation, multivariate regression and all aspects of massaging data together to look at it from different angles for use in predictive and prescriptive modeling

　　Ability to design prototypes and deploy machine learning algorithms, data mining insights, data visualizations, and statistical models for key strategic initiatives using CSFC multi-dimensional data sets

　　Proficiency in designing, testing, and maintaining multiple databases with feeding work streams

　　Ability to communicate and perform cross-validation of findings with stakeholders and subject matter experts

　　Ability to think creatively and participate as both an individual contributor and collaboratively as part of a team

　　Knowledge of data engineering concepts and experience with associated tool sets to support data wrangling from across a wide array of disparate data sources

　　Experience processing large amount of structured and unstructured data

　　Strong analytical mindset and experience with statistics

　　Demonstrated ability to research and apply current information regarding the IS field

　　Consistently demonstrates clear and concise written and verbal communication

　　Proven influencing and relationship management skills

　　Excellent communication skills both written and oral

　　Client and quality driven is a must

　　Education

　　Bachelor’s degree/University degree or equivalent experience

　　Master’s degree preferred

　　Any relevant technical certifications are highly preferred

　　This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

　　Technology

　　Information Security

　　Full time

　　Jacksonville Florida United States

　　$113,840.00 - $170,760.00

　　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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm) .

　　View the "EEO is the Law (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/eeopost.pdf) " poster. View the EEO is the Law Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) .

　　View the EEO Policy Statement (http://citi.com/citi/diversity/assets/pdf/eeo_aa_policy.pdf) .

　　View the Pay Transparency Posting (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)

　　Citi is an equal opportunity and affirmative action employer.

　　Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.