
at J.P. Morgan
Bulge Bracket Investment BanksPosted 10 days ago
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**Quant Model Risk Analyst** in Bengaluru, India, spearheads risk assessment for Treasury, Credit Risk, and other models used by JPMorganChase. Key responsibilities include model reviews, guiding model usage, and liaising with stakeholders. Requires Bachelor's, Master's, or PhD in quantitative field, 1–3 years' experience, strong analytical skills, Python proficiency, and knowledge of financial products/markets.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you play a crucial role in maintaining JPMorganChase's strength and resilience. 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 Quant Model Risk Analyst in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with the models used by Treasury for resolution and recovery, Credit Risk, liquidity, stress testing and budgeting. You'll be at the forefront of innovation, driving continuous improvement in a dynamic and collaborative environment. This role also provides the opportunity to gain exposure to various business and functional areas, as well as to collaborate closely with model developers and users.
Job Responsibilities
- Perform model reviews: evaluate the conceptual soundness of a model, assess its behavior under various market conditions and its 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
- Education: Bachelors, Masters or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics).
- Experience: Bachelors degree with 12 years, Masters degree/PhD with 01 years of experience in a quantitative modelling or model validation role.
- Strong analytical problem-solving skills and clear written/verbal communication, ability to articulate technical issues to diverse stakeholders and write high quality technical reports.
Knowledge of financial products / markets and regulatory requirements.
- 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.
- Curious, ownership-driven, and teamwork-oriented mindset.
- Good Python coding skills.Preferred qualifications, capabilities, and skillsThe following additional items will be considered but are not required for this role:
Experience with Treasury and Credit Risk Models
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