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职位JPMorgan Chase

Remediation & Corrections Analytics - Quantitative Analytics - Senior Associate

JPMorgan Chase

Remediation & Corrections Analytics - Quantitative Analytics - Senior Associate

JPMorgan Chase

Bengaluru, Karnataka, India, IN

·

On-site

·

Full-time

·

3w ago

The Consumer and Community Banking (CCB) Remediation and Correction functional area cares for the identification, classification, and correction of customer impacts caused by business process or operational breaks within CCB. Within the this function, the team focuses on correcting the impacted accounts via recalculating and/or crediting finance charges, fees, and rewards balances; correcting/changing finance charge and fee structures; initiating customer communications, etc.

As a Quantitative Analytics Analyst Sr in Remediation & Corrections Analytics, you will support various lines of business, including Home Lending, Auto, Consumer & business banking , Cards and Wealth Management. The Analyst will perform end-to-end testing of the case requirements and analysis on code against those requirements and execution plans; while confirming correct usage of data sources, standard code, adherence to guidelines and regulations, and following best practice standards

Job Responsibilities:

  • Identify scenarios based on Correction Case requirements

  • Perform validation on cases resulting from difficult, complex, multilayered, data intensive business problems.

  • Effectively communicate with BA/Developers and PMs on the issues identified

  • Develop test plan, code and macro validation procedures, job aids, tools and approaches and effective communication of defects

  • Perform code to business requirement validation

  • End to end ownership of correction cases

  • Develop test scenarios for each logic and business requirements

  • Write queries and run frequencies to validate population and output files

  • Ensure correct formatting and logic of all output files

Required qualifications, capabilities, and skills

  • Under -Graduation / Post-Graduation degree in a quantitative discipline; Math, Finance, Statistics, Economics, or equivalent work/training is required.

  • 8+ years of experience in requirements a SQL and SAS Developer or related role

  • Must have ability to understand complex SQL queries

  • Banking experience in one or more US consumer credit portfolios (Mortgage, Credit Card, Auto, Consumer and Business Banking)

  • Basic knowledge on Alteryx

  • Focused attention to detail, analytical & inquisitive with high standards for quality and accuracy

  • Strong communication skills (both written and verbal)

Preferred qualifications, capabilities, and skills

  • Prefer querying skills in SAS, SQL, Python and Snowflake environment’
  • Base and Advanced SAS Certified and working in Snowflake/Alteryx will be an added advantage.
  • History of effective multi-tasking, expectation setting, and escalation of issues, where appropriate
  • Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior level individuals.
  • Able to work effectively under pressure and in a rapidly changing environment to meet deadlines.

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

员工数

New York City

总部位置

$500B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2份报告

$188,500

年薪总额

基本工资

$145,000

股票

-

奖金

-

$182,000

$195,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study