Financial Model Developer
Financial Model Developer
Posted on :
10-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
10-04-2025
Job Description
Our client a major bank in New York City is looking for talented Financial Model Developer for Financial Resource Management (FRM) Team.
Permanent position with competitive compensation package (base is 130175K) excellent benefits and target bonus.
Must be 4 days per week in New York City Office.
Financial Model Developer
FRM seeks a quantitatively oriented individual for the position. Subject matter expert supporting. projects in numerous areas including:
The ideal candidate will possess a strong understanding of how these businesses generate revenue the associated risks and the regulatory requirements surrounding model development and validation.
You should also posses a proven record of collaborative team engagement and a commitment to take on unfamiliar tasks and learn new topics.
Please email your resume or use this link to apply directly:
Permanent position with competitive compensation package (base is 130175K) excellent benefits and target bonus.
Must be 4 days per week in New York City Office.
Financial Model Developer
FRM seeks a quantitatively oriented individual for the position. Subject matter expert supporting. projects in numerous areas including:
- Developing and enhancing income statement and balance forecast models;
- 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; and
- General tasks associated with managing the banks capital position.
The ideal candidate will possess a strong understanding of how these businesses generate revenue the associated risks and the regulatory requirements surrounding model development and validation.
You should also posses a proven record of collaborative team engagement and a commitment to take on unfamiliar tasks and learn new topics.
Responsibilities:
- Develop and implement robust PPNR models including revenue forecasting and risk assessment for banking and trading operations.
- Analyze and understand the revenuegenerating activities of trading and banking businesses including interest income fee income and trading gains.
- Identify and quantify risks associated with revenue generation including market risk credit risk operational risk and liquidity risk.
- Conduct model validation and performance monitoring to ensure accuracy and compliance with regulatory standards.
- Stay current with industry trends regulatory changes and best practices in model development and risk management.
- Participate in development maintenance and documentation of finance models via OLS regression and A(R) approaches in accordance with Federal Reserve SR 117 requirements.
- Evaluate data to identify necessary adjustments and work closely with business users to create robust forecasting models and historical analyses.
- Manage projects and deepen relationships with internal and external counterparties to enhance institutional knowledge to support the forecasting/capital management processes.
- Ad hoc analyses to solve new problems which may require iterative analyses and dealing with potential uncertainty.
- 57 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 potential changing conditions and deadlines.
- Robust understanding of statistical concepts regressionbased forecasting models and time series analysis.
- Ability to effectively analyze large data sets and identify patterns and insights.
- Strong understanding of banking and trading revenue streams including the ability to analyze complex financial products.
- 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 nontechnical audiences.
- Knowledge of relevant regulatory requirements (e.g. Basel III DoddFrank SR 117 is a plus.
- Candidates with a Bachelors degree in areas such as Statistics Financial Engineering Econometrics Mathematics Finance Engineering or other advanced quantitative field. Masters a plus.
- Eligible to work in the U.S. without sponsorship.
Please email your resume or use this link to apply directly:
Employment Type
Full Time
Key Skills
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