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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 鈥� whether they be consumers, corporations, governments, or institutions 鈥� to help them meet their biggest opportunities and face the world's toughest challenges.

We鈥檙e currently looking for a high caliber professional to join our team as Vice President , ICM In - Business Quality Assurance - Data Analytics - Hybrid based in Warsaw , Poland. Being part of our team means that we鈥檒l 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:

路听听听听听听听听 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.

路听听听听听听听听 We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That鈥檚 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鈥檙e expected to:

Institutional Credit Management鈥檚 (鈥淚CM鈥�) objective is to provide an integrated 鈥渆nd-to-end鈥� credit underwriting, identification, measurement, management, monitoring and reporting for wholesale credit businesses across the enterprise. ICM In-Business Quality Assurance is an integral part of the ICM organization.

The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM 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.

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

Key responsibilities include:

路听听听听听听听听 Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance

路听听听听听听听听 Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICG senior management.

路听听听听听听听听 Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis

路听听听听听听听听 Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution. Deep and hands-on in deriving concrete insight from data and qualifying business impact.

路听听听听听听听听 Develop processes and tools to monitor and analyse model performance and data accuracy

路听听听听听听听听 Collaborate within IBQA teams and with QA Directors and provide them with analytics insights

路听听听听听听听听 Provide oversight and guidance over the assessment of complex data related issues, structure potential solutions and drive effective resolution with stakeholders.

路听听听听听听听听 Support WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings.

路听听听听听听听听 Support WCR IBQA Voice of the Employee (VOE) as well as diversity and inclusion initiatives

路听听听听听听听听 Travel (less than 10%)

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

Analytics and Business:

路听听听听听听听听 Demonstrable experience of at least 10 years of data analytics, in innovation, modelling and analytics, internal audit, or similar functions at an investment or large commercial bank

路听听听听听听听听 Good grasp of Wholesale Credit Risk and Counterparty Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation.

路听听听听听听听听 Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels to elicit requirements and priorities.

Leadership:

路听听听听听听听听 Assists colleagues in identifying stretch opportunities to elevate individual and team performance and recognizes individuals based on performance.

路听听听听听听听听 Continuous learning and improvement mindset.

路听听听听听听听听 Coach, mentor, and lead team members to develop team strengths.

路听听听听听听听听 Proven culture carrier

Competencies:

路听听听听听听听听 Solid organizational skills with ability and willingness to work under pressure and manages time and priorities effectively.

路听听听听听听听听 A logical and methodical mindset, strong analytical and problem-solving skills, with the ability to think critically, working with others to propose creative solutions.

路听听听听听听听听 Leading the delivery of the areas of complex or judgemental QA work, including identifying issues, analysing multiple data points to draw informed conclusions and clearly articulate these conclusions in written and verbal form to senior stakeholders.

路听听听听听听听听 Good interpersonal communication skills which will be required for both internal and external business partners.

路听听听听听听听听 Attention to detail and a commitment to delivering high-quality work.

路听听听听听听听听 A drive to learn and master new technologies and techniques.

路听听听听听听听听 Experience in analysing datasets and distilling them into actionable information as well as building out end-to-end analytical process flows.

路听听听听听听听听 Understanding of process redesign / re-engineering and execution

路听听听听听听听听 Experience in preparing presentations for seniors.

Technical:

路听听听听听听听听 Coding knowledge and experience with at least two programming languages (C++, Python, C#, Java, R, etc.).

路听听听听听听听听 Experience with deep learning framework PyTorch strongly preferred but not mandatory.

路听听听听听听听听 Experience working and manipulating large set of data.

Qualifications:

路听听听听听听听听 Bachelor鈥檚 or Master鈥檚 degree in Maths Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

路听听听听听听听听 Data Analysis: SQL; Python; SAS; R, Alteryx, Splunk;

路听听听听听听听听 Visualization: Tableau; Qlikview; MS Power BI.

路听听听听听听听听 Programming language: Python, Java, C++,

路听听听听听听听听 Experience with big data tools: Hadoop, Spark, Kafka, etc