Senior Information Security Data Engineer - Jacksonville, United States - Citi

Description

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.

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In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit Available offerings may vary by jurisdiction, job level, and date of hire.

Anticipated Posting Close Date:

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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