Risk Management - Compliance Anti-Money Laundering and KYC - Model Risk Program Associate
Risk Management - Compliance Anti-Money Laundering and KYC - Model Risk Program Associate
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$ 135000 - 150000
1 Vacancy
Job Description
Bring your expertise to part of Risk Management and Compliance you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box challenging the status quo and striving to be best-in-class.
As a Model Risk Program Associate within Risk Management and Compliance you will be responsible for assessing the risks associated with models used for sanctions screening trade surveillance transaction monitoring and other models within Compliance. You will perform independent testing develop benchmarking tools and monitor performance of the models. You will leverage your technical expertise and intellectual rigor to assess conceptual soundness of the data-promoten compliance models identify and assess the emerging model risks from various component models and model-to-model interactions..
Job responsibilities
- Perform model reviews: analyzethe conceptualsoundnessof compliance model and assess model behavior and suitability in the context of usage.
- Guide on model usage and act as the first point of contact for the business on all new models and changes to existing models.
- Develop and implement alternative model benchmarks and compare the outcome of various models. Design model performance metrics.
- Liaise with model developers users and compliance groups and provide guidance on model risk.
- Evaluate model performance on a regular basis.
Required qualifications capabilities and skills
- 1 plus years of experience in a quantitative modeling role such as Data Science Quantitative Model Development Model Validation or Technology focused on Data Science.
- A PhD or Masters degree in a quantitative field such as Mathematics Physics Engineering Computer Science Economics or Finance is required.
- Strong verbal and written communication skills with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports.
- Deep understanding of standard statistical techniques such as regression analysis.
- Hands-on experience with standard Machine Learning models including Boosted Trees Neural Networks SVM and LLM (e.g. BERT).
- Experience of working with dedicated ML packages such as TensorFlow or similar as well as data processing and numeric programming tools (NumPy SciPy Pandas etc.).
- Ability to implement benchmarking models in Python R or equivalent.
- Risk- and control-oriented mindset: ability to ask incisive questions assess the materiality of model issues and escalate issues appropriately.
- Ability to work in a fast-paced results-driven environment.
Preferred qualifications capabilities and skills
- Prior experience in modeling reviewing or managing models for sanctions screening trade surveillance or transaction monitoring is desirable.
- Experience with database interfacing data management and preprocessing (e.g. SQL or kdb q) is a plus.
Required Experience:
IC
Employment Type
Full-Time
