Financial Model Developer

Mizuho-posted 9 days ago

$92,000 - $120,000/Yr

Full-time • Entry Level

Hybrid • New York, NY

5,001-10,000 employees

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General Department Description The Balance Sheet Strategy Unit (BSS) is responsible for estimating, reporting and managing capital and other financial resources across Mizuho Americas. Summary BSS seeks a quantitatively oriented individual for the position of an Associate. The candidate will assist in supporting projects in numerous areas including: Developing, validating, and maintaining predictive models that estimate Pre-Provision Net Revenue and Balance Sheet forecasts for our trading and banking businesses; Liaising with banking and trading counterparts to manage and access the modeling data infrastructure; Preparing high quality/robust model documentation and interfacing with Model Validation; General tasks associated with managing the bank’s capital position; and Assisting team members in senior management projects It is a plus if the candidate understands how these businesses generate revenue, the associated risks, and the regulatory requirements surrounding model development and validation. Candidates should also possess proven record of collaborative team engagement and a commitment to take on unfamiliar tasks and learn new topics.

Develop and implement robust PPNR models, including revenue forecasting and risk assessment for banking and trading operations.
Conduct performance monitoring to ensure accuracy and compliance with regulatory standards.
Participate in development, maintenance, and documentation of finance models via OLS regression and A(R) approaches in accordance with Federal Reserve SR 11-7 requirements.
Evaluate data to identify necessary adjustments and work closely with business users to create robust forecasting models and historical analyses.
Ad hoc analyses to solve new problems which may require iterative analyses and dealing with potential uncertainty.

Robust understanding of statistical concepts, regression-based forecasting models and time series analysis.
1-3 years of relevant work experience in the financial services industry.
Significant knowledge and experience with statistical software (E.g. Python, SAS, etc.) as well as Microsoft Excel in a business environment.
A high level of flexibility and dedication to collaborating on team goals in an environment with changing conditions, and deadlines.
Familiarity with risk management principles and practices in financial institutions.
Good communication skills (presentation and written) with an ability to explain underlying drivers and key takeaways from modeled data outputs to technical and non-technical audiences.
Candidates with a Bachelor’s degree in areas such as Statistics, Financial Engineering, Econometrics, Mathematics, Finance, Engineering or other advanced quantitative field.
Eligible to work in the U.S. without sponsorship

Knowledge of relevant regulatory requirements (e.g., Basel III, Dodd-Frank, SR 11-7) is a plus.
Masters a plus.

In addition to salary and a generous employee benefits package, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus.

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