Model/Anlys/Valid Sr Analyst - C12 - MUMBAI

DART is the leading risk modeling and data analytics team in Citi. We use mathematical modeling and the latest technologies to calculate risk for the largest portfolios in Citi. We use visualizations and dashboards to communicate risk to senior stakeholders. Our models and analytics ensure that the bank has adequate capital during crisis.

We are a diverse group of professionals with backgrounds in physics, engineering, finance, economics, and data science. You will work alongside experienced colleagues to further develop your analytical and quantitative skills. Your responsibilities will include building models and analytical applications to tackle real-world challenges, paving the way for a career as a risk management expert and leader.

Responsibilities:

• Prepare detailed quantitative modeling and analysis for risk managers and senior management
• Synthesize and communicate complex risk exposures and metrics
• Conduct statistical analysis, quantitative modeling, and model risk controls.
• Work with risk managers, businesses, modelers, and tech to design and build analytical applications.
• Provide critical data to Risk and Business management for portfolio monitoring and strategic decision-making. (Including Regulatory Submissions).
• Hands-on and end to end implementation of interactive business insights data visualization artifacts such as dashboards, scorecards and reports using Tableau Desktop as a strategic reporting tool, from inception to production deployment
• Analysis, prep, transformation, and automation of the underlying data flows using Tableau Prep Builder which covers enterprise risk data sets across multiple source systems
• Engage with Risk, Finance, Technology & business teams to provide in-depth analysis on the key Risk metrics and present the same during Senior Management Committee reviews. (Portfolio Review / ALCO etc.). 
• Participate in critical Risk-wide initiatives such as platform implementation, end-user computing reduction, and process/data controls.
• Realize opportunities to improve the timing, efficiency, and degree of automation for reporting deliverables
• Participate in initiatives to develop effective controls for data, data quality metrics and governance
• Communicating issues identified to impacted parties and implement corrective action plans.
• Engages in project management for multiple cross-functional projects, including coordinating project plans and establishing targets
• Acts as SME to senior stakeholders and /or other team members.

Qualifications:

• 6+ years of experience in finance and/or risk data analytics
• Bachelor’s or master’s degree in finance, business, economics, engineering, sciences, or other related technical disciplines (e.g. engineering, finance, economics, science)
• Strong knowledge of or interest in finance, markets, risk management.
• Proficiency in Python, Java, or Scala in a Unix/Linux environment, Tableau, Power BI visualization tools or equivalent preferred.
• Advanced knowledge of EXCEL/VBA, MS Access, and PowerPoint
• Skills in data, analytics, databases, data quality.
• Strong analytical and problem-solving skills, and attention to details. Ability to quickly analyze granular details, summarize top-level trends, identify key drivers of trends and adeptly present findings.
• Knowledge of Citigroup internal reporting applications, particularly Risk and Finance applications such as Optima, Citi Risk, COGNOS, Genesis, and Facility Management is helpful
• Excellent written and verbal communication skills, and proven presentation skills.  Ability to relay information to senior management in a succinct, insightful way, and negotiate internally with a broad range of stakeholders.
• Good team player and excellent work ethics

Education:

• Professional degree equivalent to CA / MBA Finance or Postgraduates from premier universities.
• Master’s degree in Finance, Bachelors / master’s degree in engineering, computer science or other analytically intensive discipline will be an advantage.

Position is being repurposed for Increased requirement in India Regulatory Reporting

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