*Hybrid, 3 days onsite, 2 days remote*

*We are unable to sponsor as this is a permanent Full time role*

A prestigious company is looking for an Associate Principal, Credit Management & Reporting. This role will focus on credit risk data analysis using excel, Microsoft office, SQL, Tableau, Power BI, Bloomberg/S&P, and python Scripting.

Responsibilities:

• Support credit risk management team with analysis of ongoing creditworthiness of counterparties and escalate issues requiring enhanced surveillance to department management and internal working groups so appropriate actions can be taken.
• Support credit risk management team with analytical solutions to assist with financial statement analysis, including identifying levels and trends in key metrics and ratios.
• Collaborate with IT and other internal teams to design and implement advanced scalable data analytics solutions to identify and analyze causal links and meaningful relationships (eg, correlations, distributions, percentiles). Includes centralizing data from multiple sources to automated Front End visual reporting/dashboards.
• Support credit risk management team with critical, time-sensitive, and/or complex counterparty inquiries requiring data collection or analysis.
• Support system, data, and risk methodology development, review data and risk methodologies during annual reviews, identify underlying methodology assumptions with a comprehensive set of special cases, guide methodologies through full life cycle events, and evaluate different possible approaches/enhancements
• Develop, maintain, enhance, and adhere to written policies and procedures
• Participate in and lead procedure-related control testing activities and identify opportunities for improving the control environment
• Supervise and confirm adherence to regulatory reporting obligations
• Work with internal and external stakeholders to support audits/exams

Qualifications:

• Bachelor's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) or equivalent work experience required
• 4+ years of data analytics experience or relevant financial services industry experience
• Desire to earn, or progress towards, a CFA or FRM certification
• Proficient knowledge of the financial services industry, including the financial, market, liquidity and operational risks of broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities
• Proficient understanding of securities markets, derivatives, and option trading strategies
• Intermediate-to Advanced in Microsoft Office, including Excel experience using lookups and pivot tables to perform data analysis, and comfortable developing PowerPoint presentations
• Intermediate- to-Advanced SQL, including the ability to write and edit queries to assist with mining and visualizing data from multiple sources.
• Experience using data visualization software (eg, Tableau, Power BI)
• Familiarity with data stack applications such as Snowflake and code versioning in Github
• Coding experience with (eg, Python, R, VBA macros) required
• Familiarity using Bloomberg and/or S&P Global Market Intelligence, and the technical ability to connect these tools to Excel preferred