דרושים Fraud Ops Specialist - C05 ב-Citi Group ב-India, Pune

Responsibilities:

• Follow established procedures to complete complex assignments and resolve problems that require in-depth investigation or research
• Provide team assistance, including serving as subject matter expert, leading special projects, training new hires within work unit, providing daily guidance to lower level employees, and allocation of work, as needed
• Conduct basic analysis and research as well as workflow management
• Support an expansive array of products and services
• Communicate pertinent information to senior managers and support activities that help mitigate organizational loss or impact, as needed
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 1-3 years of relevant experience
• Experience working in a business office or operational environment
• Proficient computer and math skills with a focus on complex databases and spreadsheets
• Demonstrates technical and administrative expertise
• Consistently demonstrates attention to detail
• Demonstrated knowledge of activities, policies, and procedures of a basic work area

Education:

• High School diploma or equivalent

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

Time Type:

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Responsibilities:

• Lead and mentor a small Operation Support team (typically up to 10) through delegating daily tasks and responsibilities as well as recommending new work procedures to help streamline operations
• Conduct training, monitor quality and quantity of team work and provide feedback on performance, including making recommendations on pay increases, promotions, terminations, etc.
• Analyze Operations information and make evaluative judgements to solve problems
• Responsible for Identifying and resolving routine problems and operational issues with broader departmental impact within established procedures
• Identify hiring needs to ensure adequate staffing
• Serve as a backup for manager, as needed
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and /or other team members.
• Ability to manage teams.
• Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 2-5 years of related business experience including at least one-year supervisory experience
• Proficient in Microsoft Office
• Proactive leadership and motivational skills
• Proven organization and time management skills
• Demonstrated problem-solving and decision-making skills
• Consistently demonstrates clear and concise written and verbal communication skills

Education:

• Bachelor’s degree/University degree or equivalent experience

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

Time Type:

Data Ops Capability Deployment - Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new solutions/frameworks/techniques and the improvement of processes and workflow for Enterprise Data function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.

Key Responsibilities:

• Hands on with data engineering background and have thorough understanding of Distributed Data platforms and Cloud services.
• Sound understanding of data architecture and data integration with enterprise applications
• Research and evaluate new data technologies, data mesh architecture and self-service data platforms
• Work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
• Should be able to address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities.
• Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets.
• Build analytics dashboards & data science capabilities for Enterprise Data platforms.
• Communicate complicated findings and propose solutions to a variety of stakeholders.
• Understanding business and functional requirements provided by business analysts and convert into technical design documents.
• Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation.
• Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives; requires a good understanding of the banking industry.
• Performs other duties and functions as assigned.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Skills & Qualifications

10 + years of active development background and experience in Financial Services or Finance IT is a required.

• Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
• Hands on experience for ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration.
• In depth understanding of Hive, HDFS, Airflow, job scheduler
• Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
• Should be able to write complex SQL/Stored Procs
• Should have worked on DevOps, Jenkins/Lightspeed, Git, CoPilot.
• Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI.
• Proven experience in implementing Datalake/Datawarehouse for enterprise use cases.
• Exposure to analytical tools and AI/ML is desired.

Education:

• Bachelor's/University degree, master's degree in information systems, Business Analysis / Computer Science.

Time Type:

Data Ops Capability Deployment - Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new solutions/frameworks/techniques and the improvement of processes and workflow for Enterprise Data function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.

Key Responsibilities:

• Hands on with data engineering background and have thorough understanding of Distributed Data platforms and Cloud services.
• Sound understanding of data architecture and data integration with enterprise applications
• Research and evaluate new data technologies, data mesh architecture and self-service data platforms
• Work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
• Should be able to address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities.
• Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets.
• Build analytics dashboards & data science capabilities for Enterprise Data platforms.
• Communicate complicated findings and propose solutions to a variety of stakeholders.
• Understanding business and functional requirements provided by business analysts and convert into technical design documents.
• Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation.
• Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives; requires a good understanding of the banking industry.
• Performs other duties and functions as assigned.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Skills & Qualifications

10 + years of active development background and experience in Financial Services or Finance IT is a required.

• Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
• Hands on experience for ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration.
• In depth understanding of Hive, HDFS, Airflow, job scheduler
• Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
• Should be able to write complex SQL/Stored Procs
• Should have worked on DevOps, Jenkins/Lightspeed, Git, CoPilot.
• Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI.
• Proven experience in implementing Datalake/Datawarehouse for enterprise use cases.
• Exposure to analytical tools and AI/ML is desired.

Education:

• Bachelor's/University degree, master's degree in information systems, Business Analysis / Computer Science.

Time Type:

Data Ops Capability Deployment - Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new solutions/frameworks/techniques and the improvement of processes and workflow for Enterprise Data function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.

Key Responsibilities:

• Hands on with data engineering background and have thorough understanding of Distributed Data platforms and Cloud services.
• Sound understanding of data architecture and data integration with enterprise applications
• Research and evaluate new data technologies, data mesh architecture and self-service data platforms
• Work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
• Should be able to address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities.
• Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets.
• Build analytics dashboards & data science capabilities for Enterprise Data platforms.
• Communicate complicated findings and propose solutions to a variety of stakeholders.
• Understanding business and functional requirements provided by business analysts and convert into technical design documents.
• Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation.
• Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives; requires a good understanding of the banking industry.
• Performs other duties and functions as assigned.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Skills & Qualifications

10 + years of active development background and experience in Financial Services or Finance IT is a required.

• Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
• Hands on experience for ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration.
• In depth understanding of Hive, HDFS, Airflow, job scheduler
• Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
• Should be able to write complex SQL/Stored Procs
• Should have worked on DevOps, Jenkins/Lightspeed, Git, CoPilot.
• Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI.
• Proven experience in implementing Datalake/Datawarehouse for enterprise use cases.
• Exposure to analytical tools and AI/ML is desired.

Education:

• Bachelor's/University degree, master's degree in information systems, Business Analysis / Computer Science.

Time Type:

Data Ops Capability Deployment - Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new solutions/frameworks/techniques and the improvement of processes and workflow for Enterprise Data function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.

Key Responsibilities:

• Hands on with data engineering background and have thorough understanding of Distributed Data platforms and Cloud services.
• Sound understanding of data architecture and data integration with enterprise applications
• Research and evaluate new data technologies, data mesh architecture and self-service data platforms
• Work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
• Should be able to address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities.
• Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets.
• Build analytics dashboards & data science capabilities for Enterprise Data platforms.
• Communicate complicated findings and propose solutions to a variety of stakeholders.
• Understanding business and functional requirements provided by business analysts and convert into technical design documents.
• Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation.
• Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives; requires a good understanding of the banking industry.
• Performs other duties and functions as assigned.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Skills & Qualifications

10 + years of active development background and experience in Financial Services or Finance IT is a required.

• Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
• Hands on experience for ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration.
• In depth understanding of Hive, HDFS, Airflow, job scheduler
• Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
• Should be able to write complex SQL/Stored Procs
• Should have worked on DevOps, Jenkins/Lightspeed, Git, CoPilot.
• Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI.
• Proven experience in implementing Datalake/Datawarehouse for enterprise use cases.
• Exposure to analytical tools and AI/ML is desired.

Education:

• Bachelor's/University degree, master's degree in information systems, Business Analysis / Computer Science.

Time Type:

Responsibilities:

• Lead and mentor a small Operation Support team (typically up to 14) through delegating daily tasks and responsibilities as well as recommending new work procedures to help streamline operations
• Conduct training, monitor quality and quantity of team work and provide feedback on performance, including making recommendations on pay increases, promotions, terminations, etc.
• Analyze Operations information and make evaluative judgements to solve problems
• Responsible for Identifying and resolving routine problems and operational issues with broader departmental impact within established procedures
• Identify hiring needs to ensure adequate staffing
• Serve as a backup for manager, as needed
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and /or other team members.
• Ability to manage teams.
• Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 10+ years of related business experience including at least one-year supervisory experience
• Proficient in Microsoft Office
• Proactive leadership and motivational skills
• Proven organization and time management skills
• Demonstrated problem-solving and decision-making skills
• Consistently demonstrates clear and concise written and verbal communication skills

Education:

• Bachelor’s degree/University degree or equivalent experience

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

Time Type: