Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analytics - to filter, statistical analysis for risk related projects and data modelling / validation. SAS, R, Python and SQL for prioritizing and validating potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills, regularly assumes informal / formal leadership role within teams.

By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Team Overview:

The Model Risk Management (MRM) organization provides oversight for the Model Risk Management Framework, which consists of the policy, processes, and procedure through which Citi identifies, measures, manages, monitors, reports, and controls model risk across the firm. The team responsible for the development and execution of the overall strategy for the independent validation of all Consumer Valuation models, including Anti-Money Laundering (AML) varying techniques.

What you’ll do:

• Conducts statistical analysis for risk related projects and data modelling / validation.
• Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues.
• Data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes.
• Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results 
• Validate and strategize uses of scoring models and scoring model related policies.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup. 

What we’ll need from you:

• 5-8 years relevant experience required.
• Statistical predictive modelling (development / validation) experience required.
• SAS, R, Python and SQL required.
• Proficient in Microsoft Office with an emphasis on MS Excel.
• Consistently demonstrates clear and concise written and verbal communication skills.
• Self-motivated and detail oriented.
• Demonstrated project management and organizational skills and capability to handle multiple projects at one time.

What we can offer you:

This is a role that'll offer you the opportunity to build an in-depth knowledge of financial services operations. Every day there will be new business challenges that will help you develop new skills that can drive your career.

By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits such as:

• Private Medical Care Program
• Life Insurance Program
• Pension Plan contribution (PPE Program)
• Employee Assistance Program
• Paid Parental Leave Program (maternity and paternity leave) 
• Sport Card
• Holidays Allowance
• Sport and team recreation activities
• Special offers and discounts for employees
• Access to an array of learning and development resources 
• A discretional annual performance related bonus
• A chance to make a difference with various affinity networks and charity initiatives.

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day.  We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. 

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. 

#LI-TM3

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer.

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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