Quant Analytics Associate, Model Risk Governance - Mumbai, India - JPMorgan Chase Bank, N.A.

JPMorgan Chase Bank, N.A.

Verified Company

Mumbai, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase 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.

MRGR is a global team of modeling experts within the firm's Risk Management and Compliance organization.

The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm.

The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions

The critical role of managing model risk depends on a solid infrastructure and a project management and control mindset.

As a member of the Chief Operating Office, you will join a dynamic team that performs the critical task of maintaining the model risk governance infrastructure for the firm.

The COO operates in three tracks - (i) a Technology track that focuses on developing tools and dashboards, (ii) Quant Analytics track that focuses on building analytics for monitoring the performance of models used across the firm, and (Iii) a Business Analysis track that focuses on analytics, metrics reporting, process improvement, and executing strategic projects

Responsibilities:

Develop analytics to perform ongoing performance evaluation of models used across the firm
Automate model performance data collection across various platforms used in different lines of business. Manage huge amounts of data in different formats
Work with multiple stakeholders to setup model performance testing criteria
Build various reports to help Model Risk Management to overview model performance across the different dimensions and levels of granularity
Conduct systems training for model developers and model risk manager

Required Qualifications, capabilities and skills:

Bachelor's degree in a hard science / engineering with significant exposure to computer programming or data science

years of professional experience

Familiarity with basic aspects of objectoriented and functional programming. Proficiency in at least one modern programming language (Python preferred)
Understanding of basic statistics and data analysis techniques
Strong communication skills with the ability to interface with other functional areas

Preferred

Qualifications, capabilities and skill:

The following additional items will be considered but are not required for this role:

Familiarity with econometrics, timeseries, quantitative finance, derivatives pricing, and portfolio management
Some understanding of databases and experience in processing of large amounts of data
Previous experience leading a team is a plus

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.

Morgan and Chase brands.

Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.