Job
Description
The Balance Sheet Management Senior Lead Analyst role within the Balance Sheet Integrated Solution team is dedicated to addressing intricate Treasury issues through a combination of conventional methodologies and cutting-edge techniques, such as AI/ML. You will collaborate with various teams (Capital, IRRBB, FTP, Non-Market Risk, Methodology) to deliver strategic outcomes, drawing upon your expertise in mathematics, quantitative finance, programming, and data science. Effective communication, leadership, and teamwork are crucial for influencing a diverse range of stakeholders and mentoring junior colleagues. You will be responsible for: - Identifying, designing, and implementing solutions, ranging from traditional analytic methods to AI/ML, to address key challenges faced by the Treasury. - Developing and maintaining Python libraries, adhering to SDLC best practices, and sharing code on GitHub with comprehensive documentation. - Overseeing the model pipeline and ensuring compliance with the governance standards set by Model Risk Management. - Extracting, cleansing, and preparing extensive datasets, utilizing SQL and other data manipulation techniques for advanced analytics pipelines. - Creating impactful Tableau dashboards that simplify complex data insights into actionable suggestions. - Steering platform and model strategies, prioritizing projects, and conducting forward-thinking analytics in alignment with firmwide goals. - Collaborating with Capital, IRRBB, FTP, Non-Market Risk, and Methodology teams to deliver timely, data-driven solutions that enhance business decision-making processes. Qualifications: - Minimum of 10 years of relevant experience in finance/banking, demonstrating expertise in Balance Sheet Management, Capital, IRRBB, Transfer Pricing, or related fields. - Strong background in mathematics, quantitative finance, programming, and data science, with hands-on experience in developing and deploying advanced AI/ML solutions. - Proficient in Python, SQL, and data engineering practices; familiarity with analysis tools like Tableau and Excel, as well as version control using GitHub. - Proven ability to architect, maintain, and scale analytics pipelines from data ingestion to model deployment within SDLC frameworks. - Skilled in capital markets activities, liquidity planning, and balance sheet analytics. - Outstanding communication, leadership, and collaboration skills to effectively engage with both technical and non-technical stakeholders. - Bachelor's degree in a relevant field (a Master's degree is preferred) such as Finance, Computer Science, Data Science, Mathematics, or similar. Desired Skills: - Coding proficiency - Python expertise - Tableau proficiency - Understanding and capability to design Quantitative Methods - Data Science knowledge This is a full-time position within the Finance job family group under the Non-Trading Market Risk Management category at Citi. Citi is an equal opportunity and affirmative action employer, encouraging all qualified and interested candidates to explore career opportunities. If you require a reasonable accommodation due to a disability to utilize our search tools or apply for a role, please refer to the Accessibility at Citi information provided by Citigroup Inc. and its subsidiaries.,
