דרושים ב-Citi Group ב-India, Bengaluru

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or 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. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• Incumbents in this role may often be referred to as Data Scientists
• Specialization in marketing, risk, digital and AML fields possible
• 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:

• 8-12 years of experience into Data Scientists/Analytics
• Must have the ability to retrieve and manipulation data
• Advanced analytic ability and problem solving skills to proactively address business questions with innovative data driven solutions
• Ability to build partnerships with cross-functional teams in order
• Working experience in a quantitative field, Financial/Credit Card industry
• Willing to learn and can-do attitude
• Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
• Skills-SQL, Python, Machine Learning, Advance modelling, PySpark, Decision Tree

Education:

• Bachelors/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:

Responsibilities

• Developing and supporting scalable, extensible, and highly available data solutions
• Deliver on critical business priorities while ensuring alignment with the wider architectural vision
• Identify and help address potential risks in the data supply chain
• Follow and contribute to technical standards
• Design and develop analytical data models

Required Qualifications & Work Experience

• First Class Degree in Engineering/Technology (4-year graduate course)
• 5 to 10 years’ experience implementing data-intensive solutions using agile methodologies
• Experience of relational databases and using SQL for data querying, transformation and manipulation
• Experience of modelling data for analytical consumers

• Ability to automate and streamline the build, test and deployment of data pipelines
• Experience in cloud native technologies and patterns
• A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
• Excellent communication and problem-solving skills

echnical Skills (Must Have)

• ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
• Big Data:Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing
• Data Warehousing & Database Management : Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
• Data Modeling & Design:Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
• Languages : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
• DevOps : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Technical Skills (Valuable)

• Ab Initio : Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows
• Cloud : Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs
• Data Quality & Controls : Exposure to data validation, cleansing, enrichment and data controls
• Containerization : Fair understanding of containerization platforms like Docker, Kubernetes
• File Formats : Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
• Others : Basics of Job scheduler like Autosys. Basics of Entitlement management
• Certification on any of the above topics would be an advantage.

Time Type:

Responsibilities:

• Gathers operational data from various cross functional stakeholders to examine past business performance.
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
• May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
• 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:

• 2-5 years relevant experience
• Advanced process management skills, organized and detail oriented
• Curious about learning and developing new skillsets
• Positive outlook with a can-do mindset

Education:

• Bachelors/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:

Requirements: Requires a Master’s degree, or foreign equivalent, in Economics, Statistics, Mathematics, Actuarial Science or related field and 2 years of experience as a Senior Analyst - Credit Risk or related position developing installment loan underwriting strategy and procedures for a financial services institution. 2 years of experience must include: SAS, SAS Studio; Data visualization; Analytical and technical skills in Machine learning; Microsoft Excel, Power Point, Tableau; Credit risk analytics; Underwriting strategy optimization; Financial analytics; and Portfolio development and customer level P&L optimization strategy building. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #25862340. EO Employer.

Wage Range: $142,600 to $161,600

Anticipated Posting Close Date:

Position Overview:

Responsibilities:

• Design, develop, and launch interactive dashboards/reporting systems to track key performance metrics across all Wealth Line of Business (LOBs) and products.
• Develop and implement enablement programs that enhance operational efficiency and improve client service delivery, within an access-controlled and risk-approved visibility framework.
• Support initiatives to expand tool adoption across the Wealth franchise, including trainings, office hours, use cases, etc.
• Partner closely with Technology within an Agile framework
• Evaluate and implement appropriate tools that can scale with increased usage and content

Experience:

• Minimum of 5 years of experience in business intelligence, developing High quality, engaging visualizations
• History of success in supporting BI functions in a fast-paced, growth-oriented environment
• Knowledgeable in BI and CRM tools (e.g., Tableau, Power BI, Domo, Salesforce, Dataiku) and data management systems
• Experience building and launching BI platform on JavaScript Framework like React, Angular, D3 etc
• Experience launching or piloting capabilities such as Conversational BI
• Exposure to new BI tools such Hex, Sigma computing, Preset, etc. strongly preferred
• Proficiency in data management tools and technologies (e.g., SQL, Python, Snowflake, Hadoop, etc.)
• Ability to manage multiple projects and prioritize tasks effectively
• Must be willing to share Visualization portfolio

Anticipated Posting Close Date:

Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• Incumbents in this role may often be referred to as Data Scientists
• Specialization in marketing, risk, digital and AML fields possible
• 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:

• 5-8 years relevant experience
• Have the ability to retrieve and manipulate data
• Possess analytical ability and problem solving skills
• Working experience in a quantitative field
• Willing to learn and can-do attitude
• Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
• Ability to build partnerships with cross-function leaders

Education:

• Masters/Post Graduate 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.

• 5+ years of relevant experience, preferred financial domain knowledge

• Preferred Digital Marketing and/or Digital Experience domain knowledge

• Proficient in Python/Pyspark, SQL and hands-on experience on big data environment like Hadoop

• Hands-on experience on Statistical techniques andPredictive modeling using Machine Learning like - Lookalike analysis, Decision Tree, Logistic Regression etc.

• Proficient in MS Excel, PowerPoint

Time Type:

Responsibilities:

• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
• Ensure essential procedures are followed and help define operating standards and processes
• Serve as advisor or coach to new or lower level analysts
• 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.
• 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:

• 5-8 years of relevant experience
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

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: