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Participate in regulatory functions for quality reports- (10K and 10 Q accounting reports) and they are adopting new rules and methodologies , etc- a massive undertaking dealing with confidential data and sensitive information- data has to be perfect, compliance is key- involves how and who touches what data, how data comes into reports, etc.
Data comes from several systems and these Client will be crunching data for users, routing data and process, orchestrating build-outs, troubleshoots apps before sending out.
The BA requires a mixture of operations and technical abilities- will manage critical apps, have experience large scale software, has an understanding of compliance, ability to capture and convey results to non-technical people (accountant)- Data understanding 60% ; technical BA knowledge 40%- working with developers, gathering requirements, etc
Needs to have: Domain expertise background . Client banking requirements are a super plus, as well as typical technical BA skills- ability to understand languages (java, python) for technical requirements, software engineering background is good CCAR is required - CECL
The selected candidate will join the Model Implementation team supporting ALM and Finance LOBs in multiple capacities including stress testing, loss forecasting, end to end process improvement for a multi-generational CCAR and CECL modeling, analytical and reporting initiative.
Candidate should have an understanding of economics, business and analytics, and should be able to translate quantitative results into meaningful and actionable recommendations.
Experience working with quantitative or financial models is a plus; knowledge of PD/EAD/LGD constructs also a plus.
Candidate should be able to demonstrate experience working with information and drawing meaningful insights using analytical techniques, as well as the ability to present and communicate those insights to a non-technical audience.
Candidate will be responsible for working with the current state of the forecast production process while helping lead the transformation effort to support CECL compliance.
Effective leader with proven results
6-8 years of experience driving continuous process improvements Comfortable working with large amounts of data, extrapolating meaningful insight from quantitative or technical results High proficiency with MS Excel, Visio, Power Point Candidate must demonstrate a combination of business acumen, analysis skills, strategic and creative thinking, and satisfactory written/oral communications skills The ability to work well in a team environment Evidence the following characteristics: assertiveness; attention to detail; initiative; leadership; strong work ethic; team focus SAS and/ or Python. Coding background required
Masters and/or MBA candidates considered Knowledge of Financial Reporting, Commercial Credit Analysis, PD/LGD modeling Experience with CCAR / DFAST Regulatory Submissions
Enterprise Role Overview
Responsible for performing data management, complex analysis, and modeling that maximizes profits and asset growth and minimizes credit and operating losses and other risk exposures. Coordinates the production of databases, performance reports for senior mgt. Manages the review and analysis of trends in current population distributions and recommends strategies. Directs the development of more complex databases, program models to extract data and use databases to provide statistical and financial modeling. Oversees the data design, analysis of portfolio trends, concerning credit score cutoffs, loss trends, portfolio dynamics. Integrates the analysis team with other corporate units to insure alignment of analysis with business strategies and objectives. Programming experience like SQL, SAS, Python preferred; 6+ years' experience.
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