Quantitative Developer
Atlanta, GA · On-site
Must-have experience: * 4 to 8 years building CECL or CCAR models inside regulated banks or top ... Python and SAS required * Excel and database management fluency * Databricks notebook comfort
Quantitative Developer
Atlanta, GA · On-site
Must-have experience: * 4 to 8 years building CECL or CCAR models inside regulated banks or top ... Python and SAS required * Excel and database management fluency * Databricks notebook comfort
... CECL processes, regulations, and guidance for a Category IV bank * Experience with model risk management and SR 11-7 guidance * Knowledge of programming in R, Python, and SQL
... CECL processes, regulations, and guidance for a Category IV bank * Experience with model risk management and SR 11-7 guidance * Knowledge of programming in R, Python, and SQL
... and CECL compliance. * Support the Director and partner with business leadership to translate ... Python, SAS, Tableau • Hands on experience in model development and model development ...
... and CECL compliance. * Support the Director and partner with business leadership to translate ... Python, SAS, Tableau • Hands on experience in model development and model development ...
... and CECL compliance. * Support the Director and partner with business leadership to translate ... Python, SAS, Tableau • Hands on experience in model development and model development ...
... and CECL compliance. * Support the Director and partner with business leadership to translate ... Python, SAS, Tableau • Hands on experience in model development and model development ...
... and CECL compliance. * Support the Director and partner with business leadership to translate ... Python, SAS, Tableau • Hands on experience in model development and model development ...
... and CECL compliance. * Support the Director and partner with business leadership to translate ... Python, SAS, Tableau • Hands on experience in model development and model development ...
Knowledge of Expected Credit Loss (ECL) frameworks such as CECL or IFRS 9. * Familiarity with applying machine learning models in a credit or financial context. * Experience with Tableau or Python ...
Knowledge of Expected Credit Loss (ECL) frameworks such as CECL or IFRS 9. * Familiarity with applying machine learning models in a credit or financial context. * Experience with Tableau or Python ...
Knowledge of Expected Credit Loss (ECL) frameworks such as CECL or IFRS 9. * Familiarity with applying machine learning models in a credit or financial context. * Experience with Tableau or Python ...
Knowledge of Expected Credit Loss (ECL) frameworks such as CECL or IFRS 9. * Familiarity with applying machine learning models in a credit or financial context. * Experience with Tableau or Python ...
Cecl Python information
What is the difference between Cecl Python vs Cecl Data Analyst?
| Aspect | Cecl Python | Cecl Data Analyst |
|---|---|---|
| Required Credentials | Python programming skills, financial modeling knowledge | Data analysis skills, SQL, Excel, possibly some programming |
| Work Environment | Developing models, coding, testing in financial institutions | Data interpretation, reporting, supporting decision-making |
| Industry Usage | Used by quantitative teams, risk management, model development | Used by business analysts, risk teams, finance departments |
Cecl Python focuses on developing and implementing CECL models using Python programming, while Cecl Data Analysts primarily interpret data, prepare reports, and support model validation. Both roles are essential in financial institutions but differ in technical depth and daily tasks.
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Job description
Hands-on developers executing under the senior modeling lead.
Must-have experience:
- 4 to 8 years building CECL or CCAR models inside regulated banks or top-tier advisory practices
- Original model construction, not solely back-testing or monitoring
- Bachelor's in Business Admin, Finance, Accounting, Stats, Econ, Financial Engineering, Applied Math, or Quant Finance.
- Macroeconomic scenario design and stress testing.
Tech stack:
- Python and SAS required
- Excel and database management fluency
- Databricks notebook comfort
- Moody's RiskFoundation or Scenario Analyzer exposure a plus
- Adenza / AxiomSL element exposure a plus
ML / neural net comfort a plus
About soho square solutions
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
201 - 500 Employees
Headquarters location
New York, NY, US
Year founded
2008