Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.
(Internal Job Title:-) based in Mumbai, India.Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:
- Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
- We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
In this role, you’re expected to:
The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. Senior Management uses the results of the quality assurance reviews to assess the quality of the group's policies, procedures, programs, and practices as relates to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies.
Responsibilities:
- Support the In-Business Quality Assurance Head of Data Analytics in implementation and ongoing delivery of a robust Data analytics infrastructure
- Lead data discovery for various functional streams in IBQA, identify reliable data sources and data elements, identify data gaps and manage resolutions with data/tech/business teams, develop scalable data model design, lead pipeline development, in case of data gaps, identify alternate data source. Create data warehouse which enables the IBQA team to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis.
- Collaborate across teams on the design and maintenance of our Operations data mart (ETL, data modeling, metric design, reporting/dashboarding) to assure a stable reporting infrastructure.
- Lead investigations streams of content usage and A/B testing
- Take on research projects to improve data processing and any implemented machine learning frameworks used by our team.
- Be exemplary in promoting Data Engineering best practices within the team.
- Introduce new skills and knowledge into the team adding to the already dynamic environment our Data Engineering team has created.
- Share knowledge to compliment team-wide expertise.
- Assist with the elicitation and documentation of system requirements.
- Understand business and technical requirements and constraints to design effective data solutions.
- Create conceptual architectures and detailed designs for data solutions.
- Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data solution.
- Develop data governance processes and tools to monitor data accuracy.
- Provide oversight and guidance over the assessment of complex data related issues, structure potential solutions and drive effective resolution with stakeholders.
- Travel (less than 10%)
Analytics and Business:
- Demonstrable experience of at least 8-10 years in stored Procedures, Common Table Expressions, Window Functions, Partitioning and other advanced RDBMS tasks
- Solid understanding of ETL concepts and workflows
- Willing and interested to work in new areas and across multiple platforms such as MSSQL, Python, PySpark, Kafka etc.
- Continuous learning and improvement mindset.
- Proven culture carrier
Competencies:
- Solid organizational skills with ability and willingness to work under pressure and manages time and priorities effectively.
- Strong written and verbal communication skills, with the ability to communicate clearly and concisely to audiences of varying levels of seniority.
- A drive to learn and master new technologies and techniques.
- Experience in analysing datasets and distilling them into actionable information as well as building out end-to-end analytical process flows.
- Understanding of process redesign / re-engineering and execution
- Experience in preparing presentations for seniors.
Technical:
- Coding knowledge and experience with at least two programming languages (C++, Python, Java, R, etc.).
- Proven experience of CICD/Agile collaborative working.
- Experience in Big data integration (you have worked with TBs of data before), HiveQL, DataIKU, Hadoop, MapReduce, REST API Denodo or Datameer.
- Experience with deep learning framework PyTorch strongly preferred.
- Experience working with and creating data architectures.
Qualifications:
- Bachelor’s or Master’s degree in Maths, Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- Skills : SQL, Python, Code reviews, Build processes, Operations, Testing, Spark, Message queuing, Stream processing
- Coding standards Visualisation: Tableau; Qlikview; MS Power BI.
- Programming language: Python, Java, C++.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
Risk Management
Time Type:
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