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求人Capital One

Sr. Manager, Data Analysis

Capital One

Sr. Manager, Data Analysis

Capital One

Alabang, Muntinlupa City

·

On-site

·

Full-time

·

1mo ago

福利厚生

Healthcare

401(k)

Equity

必須スキル

Data analytics

Problem Solving

Communication

Leadership

People management

Alabang (96050), Philippines, Muntinlupa City, National Capital Region (Manila)

Sr. Manager, Data Analysis

Summary:

  • As a Sr Manager, Data Analyst, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

General Responsibilities:

  • Refining a new Enterprise-wide analytical tools validation framework

  • Planning and executing validation projects

  • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes

  • Understanding technical issues in analytical tools and assessing tools risks and opportunities

  • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools

  • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations

  • Leveraging education, colleagues and training opportunities to develop solutions to business problems

  • Coaching and mentoring junior staff

Basic Qualifications:

  • Educational Background: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)

Professional Experience:

At least 7 years of experience in data analytics

  • At least 5 years of experience leading and developing with open source data technologies

  • At least 2 years of experience managing people

  • Amenable to work in a hybrid set up; pre dominantly work from home

  • Amenable to work in a night shift and or late mid shift schedule

  • Skills Required:

Possessing strong problem solving and conceptual thinking abilities

  • Excellent communication skills , interpersonal and leadership skills

Preferred Qualifications:

  • Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field

  • At least 7 years of experience in statistical or econometrics hands-on work

  • At least 5 years of experience manipulating and performing analysis with large data sets

  • At least 5 years of experience in financial services industry

  • At least 5 years of experience in developing statistical or econometric models

  • At least 5 years of experience in validating statistical or econometric models

  • At least 2 years of experience with data governance

  • At least 2 years of experience with predictive analytics

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at Recruiting Accommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Capital Oneについて

Capital One

A financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.

10,001+

従業員数

Mclean

本社所在地

$30B

企業価値

レビュー

3.9

10件のレビュー

ワークライフバランス

3.2

報酬

4.0

企業文化

3.8

キャリア

3.5

経営陣

3.7

72%

友人に勧める

良い点

Flexible work arrangements and hours

Good benefits and competitive compensation

Supportive team dynamics and collaboration

改善点

High workload and long hours

High pressure and stress during peak times

Limited career advancement opportunities

給与レンジ

88件のデータ

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Chief of Staff L2

0件のレポート

$143,000

年収総額

基本給

$57,200

ストック

$71,500

ボーナス

$14,300

$100,100

$185,900

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 40%

普通 60%

ネガティブ 0%

面接プロセス

1

Application Review

2

Online Assessment (CodeSignal)

3

Recruiter Phone Screen

4

Technical Interview

5

Behavioral Interview

6

Power Day/Super Day

7

Final Round/Offer

よくある質問

Coding/Algorithm

Data Analysis

Behavioral/STAR

Technical Knowledge

System Design