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求人JPMorgan Chase

Data Operations Senior Associate

JPMorgan Chase

Data Operations Senior Associate

JPMorgan Chase

Metro Manila, National Capital Region, Philippines, PH

·

On-site

·

Full-time

·

2w ago

Join a team dedicated to safeguarding the integrity of regulatory reporting data. Be at the heart of quality, controls, and continuous improvement as you enhance sourcing processes and build effective data quality rules. Unlock your potential with hands‑on tools training and opportunities to automate and streamline workflows. Make your mark by strengthening accuracy, conformity, and reliability across critical submissions.

Job Summary

As a Senior Associate in Regulatory Reporting Data, you ensure data used in regulatory submissions meets high standards of conformity, accuracy, and overall quality. You support a multi‑year strategic controls roadmap by maintaining and improving data sourcing processes, building and tuning data quality rules, and managing control breaks through to resolution. You collaborate across data, technology, and reporting partners to identify issues, implement sustainable fixes, and raise the standard of data governance and transparency.

Job Responsibilities

  • Manage and monitor data quality for regulatory reporting; design, implement, and refine data quality rules and controls.

  • Maintain and improve sourcing processes to enhance lineage, timeliness, and accuracy of upstream data.

  • Triage, investigate, and resolve control breaks; document root causes and implement preventative actions.

  • Build repeatable processes and documentation for data flows, controls, and exception handling.

  • Partner with data producers, technology, and reporting teams to align requirements and remediation plans.

  • Develop reporting and dashboards that track data quality metrics, control health, and remediation progress.

  • Contribute to the strategic controls roadmap and continuous improvement backlog.

Required Qualifications, Capabilities, and Skills

  • Strong data analysis and problem‑solving skills with a quality‑first mindset.

  • Experience supporting data quality and controls in regulated or reporting‑intensive environments.

  • Working knowledge of SQL and advanced Excel; willingness to upskill in Alteryx, Tableau, and related tools.

  • Experience documenting processes and data flows; ability to produce clear runbooks and control procedures.

  • Inclusive teamwork and communication skills; ability to collaborate across levels and functions.

  • Curiosity and a challenger mindset with the confidence to question assumptions and propose improvements.

Preferred Qualifications, Capabilities, and Skills

  • Hands‑on experience with Alteryx, Tableau, JIRA, and Confluence for workflow, tracking, and documentation.

  • Demonstrated examples of data analysis fundamentals applied to real problems.

  • Evidence of designing and maintaining process or data flow documentation and ensuring version control.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

JPMorgan Chaseについて

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+

従業員数

New York City

本社所在地

$500B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

3.2

報酬

4.1

企業文化

3.8

キャリア

3.0

経営陣

2.5

65%

友人に勧める

良い点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

改善点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

給与レンジ

41件のデータ

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1件のレポート

$139,000

年収総額

基本給

$107,000

ストック

-

ボーナス

-

$139,000

$139,000

面接体験

5件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

40%

体験

ポジティブ 20%

普通 80%

ネガティブ 0%

面接プロセス

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

よくある質問

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study