• J.P. Morgan
  • $100,786.67 -205,520.00/year*
  • Financial Services - Banking/Investment/Finance
  • Full-Time

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Commercial Banking serves more than 30,000 clients, including corporations, municipalities, financial institutions, and not-for-profit entities with annual revenues generally ranging from $20 million to $2 billion. The Firm's broad platform positions the Commercial Bank to deliver extensive product capabilities - lending, treasury services, investment banking, and asset management - to meet our clients' domestic and international financial needs. This position provides data analysis and modeling support covering the Firms Commercial Real Estate loan portfolios. Responsibilities include developing portfolio risk metrics, developing and implementing scripted processes for data cleansing and analysis, and providing results with actionable insight to senior business executives and risk managers. A qualified candidate must bring proven analytical expertise, a customer-focused mindset, attention to detail, and ability to succeed in a high-paced work environment subject to peak volumes and large or complex transactions. Additional responsibilities include testing technology solutions and adapting procedures to meet dynamic business conditions that involve migration of processes to new management information systems. Proven proficiency with SQL scripting and analyzing structured data using any of SAS, Python, or R scripting is required. Prior experience designing dashboards in Tableau or Qlik is preferred. Primary Responsibilities: Design analytical methods, reports, and dashboards for monitoring business performance and for monitoring operational and credit risks. Perform custom data analyses to analyze trends in portfolio risk metrics that can be used to inform forecasts or projections under alternative scenarios Query relational databases using SQL scripting and combine results with other structured data sourced from Oracle, MS SQL Server, Hadoop, SharePoint, and flat files Summarize complex business processes using statistical methods such as regression and time series analysis Elicit and document analysis requirements from internal customers and stakeholders. Continually monitor and adapt processes to meet changes in technology and upstream processes Serve as primary or back-up resource for daily, weekly, and monthly information delivery processes Qualifications: Masters degree or equivalent in Statistics, Business, Management, Finance, Economics, or a related field 5+ years of experience in reporting and statistical modeling of operational or credit risk in financial services industry, or related experience. Must have financial services experience. Demonstrated knowledge of SQL coding and any of SAS, Python, or R scripting. Data analysis experience, preferably including statistical modeling of operational or credit risk. Experience developing, testing, and implementing reports or analytics on system supported architecture. Not ready to apply? Leave your information with us and we will keep you up to date with new career opportunities. Any information you provide is confidential and will only be viewed by our recruiters in an effort to fill open positions. In addition, the information you provide is subject to our privacy policy practices. Please note that J.P. Morgan will not accept unsolicited approaches or speculative CVs, nor will J.P. Morgan be responsible for any related fees, from Third Party Firms who are not preferred suppliers. The firm invites all interested and qualified candidates to apply for employment opportunities. Need disability related assistance? If you are a US or Canadian applicant with a disability who is unable to use our online tools to search and apply for jobs, please click here.
Associated topics: analyst, bank, cfa, chief finance officer, cpa, financial services, investment banking, kpmg, revenue, treasure

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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