Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi , 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.

　　Shape your Career with Citi

　　At Citi , we get to connect millions of people across hundreds of cities and countries every day. And we've been doing it for more than 200 years. We do this through our unparalleled global network. We provide a broad range of financial services and products to our clients – whether they be consumers, corporations, governments, or institutions – to help them meet their biggest opportunities and face the world's toughest challenges.

　　We’re currently looking for a high caliber professional to join our team as Assistant Vice President , ICM In - Business Quality Assurance - Data Analytics - Hybrid (Internal Job Title: Assistant Vice President , ICM In - Business Quality Assurance - Data Analytics - Hybrid - C12 ) 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.

　　We empower our employees to manage their financial well-being and help them plan for the future

　　Institutional Credit Management’s (“ICM”) objective is to provide an integrated “end-to-end” credit underwriting, identification, measurement, management, monitoring and reporting for wholesale credit businesses across the enterprise. Institutional Client Group (ICG) In-Business Quality Assurance is an integral part of the ICM organization.

　　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.

　　The ICM In-Business Quality Assurance Senior Officer executes and participates on the Quality Assurance Reviews (QARs), providing feedback, insight, and observations on any deficiency and areas of improvement, engaging with the management of the respective ICG business area, Independent Risk, and critical partner stakeholders and regulators.

　　This role reports to the ICM Head of In-Business Quality Assurance Head of Data Analytics.

　　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%)

　　As a successful candidate, you’d ideally have the following skills and exposure:

　　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.

　　Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

　　Take the next step in your career, apply for this role at Citi today

　　https://jobs.citi.com/dei

　　Risk Management

　　Business Risk & Control

　　Full time

　　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.

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