MRGR Treasury- Associate

JPMorgan Chase & Co.

Bengaluru

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health care coverage
Retirement savings plan
Tuition reimbursement
Mental health support

Job summary

JPMorgan Chase & Co. is looking for a Quant Model Risk Associate in Bengaluru, India. This role focuses on assessing and mitigating risks associated with quantitative models used by Treasury. Successful candidates will possess a quantitative degree and relevant experience in modelling or validation. Responsibilities include performing model reviews, guiding model usage, and liaising with various stakeholders. The position offers a competitive rewards package, including comprehensive health care and retirement plans.

Qualifications

  • Bachelor's degree with 3+ years of experience in a quantitative modelling or model validation role.
  • Master’s degree with 2+ years of experience in a quantitative modelling or model validation role.
  • PhD with up to 2 years of experience in a quantitative modelling or model validation role.

Responsibilities

  • Perform model reviews to evaluate conceptual soundness and assess behavior under market conditions.
  • Guide on model usage and act as the first point of contact for the business.
  • Develop and implement alternative model benchmarks.

Skills

Analytical problem-solving skills
Communication skills
Knowledge of financial products/markets
Programming experience (Python, R, etc.)

Education

Bachelor's, Master's, or PhD in a quantitative field

Job description

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 Associate 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, 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.

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: Bachelor’s, Master’s or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics).
  • Bachelor’s degree with 3+ years of experience in a quantitative modelling or model validation role.
  • Master’s degree with 2+ years of experience in a quantitative modelling or model validation role.
  • PhD with up to 2 years of experience in a quantitative modelling or model validation role (including relevant internships or research).
  • 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.
Preferred Qualifications, Capabilities and Skills
  • Prior experience with Treasury function and its models.
  • Hands‑on programming experience with at least one of the programming languages such as Python, R, MATLAB, C/C++ etc.
Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Equal Employment Opportunity

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

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