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トレンド企業

トレンド企業

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求人Charles Schwab

Systems Data Analyst

Charles Schwab

Systems Data Analyst

Charles Schwab

Austin, TX

·

On-site

·

Full-time

·

3d ago

Pay range:

USD $95,000.00 - $120,000.00 / Year

Your opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. This position is M-F during standard business hours with a hybrid work model (4 days in-office, 1 day working from home). It is only available in the location listed. Candidate must reside or be willing to relocate on their own to the listed location. Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.

In Corporate Risk Management we provide an integrated risk management strategy that supports the delivery of predictable financial and operational performance to produce successful client and shareholder outcomes. We are organized around six primary functions: Enterprise Risk; Credit, Market and Investment Risk; Information Security Risk; Model Risk; Operational Risk; and Financial Crimes Risk. Specifically, our Financial Crimes Risk team handles the risk of loss in Money Movement services offered through Schwab Bank and Brokerage affiliates, and risk of Money Laundering by various bad actors. The role is within our Strategy Execution Data Automation (SEDA) team, located within Financial Crimes risk Management (FCRM) Organization.

We are seeking a Systems Data Analyst to support data-driven decision making by pulling, analyzing, and interpreting data from multiple systems to support Fraud, Anti-Money Laundering (AML), and Financial Crimes Risk Management (FCRM) teams. The ideal candidate combines strong SQL and analytical skills with an understanding of financial crimes risk and can leverage AI-enabled analytics and automation to improve efficiency, consistency, and insight quality-while operating within governance and model-risk expectations.

At Schwab, we understand that a highly collaborative environment allows for being wrong sometimes as part of growing and building trust together. As a Schwabbie, you listen to others with an open mind, foster diverse inputs, and respectfully convey your thoughts and opinions in pursuit of our collective goals. You will deliver high-quality solutions that meet business objectives in a flexible, collaborative, and rapidly changing environment.

Key Responsibilities include but not limited to:

  • Extract, query, and analyze data from multiple fraud, AML and enterprise systems using SQL and related tools
  • Clean, validate, and transform raw data to ensure accuracy and consistency
  • Perform exploratory analysis to identify trends, patterns, gaps, and risks
  • Apply AI-enabled analytics tools or techniques (e.g., automation, pattern detection, anomaly identification) to improve analytical outcomes
  • Translate analytical findings into clear, actionable insights for non-technical audiences
  • Partner with business and technology teams to understand requirements and data needs
  • Support audits, risk assessments, and regulatory or management reporting as needed
  • Document data definitions, logic, assumptions, and AI usage to ensure transparency and repeatability

What you have

Required Qualifications:

  • Bachelor's degree in Analytics, Data Science, Computer Science, Finance, or a related field
  • Strong proficiency in SQL and querying relational databases
  • Experience working with large datasets and multiple data sources
  • Experience using AI-enabled analytics tools (e.g., Python libraries, embedded AI in BI platforms, or automation frameworks)
  • Python or R for data analysis, automation, or AI-assisted workflows

Preferred Qualifications:

  • Solid analytical and problem-solving skills
  • Ability to clearly communicate insights and findings to stakeholders
  • High attention to detail and data quality
  • Working knowledge of AI or advanced analytics concepts, such as:
  • using AI-assisted tools for data analysis or automation
  • basic understanding of machine learning concepts (e.g., classification, anomaly detection, trend analysis)
  • leveraging AI features within analytics platforms or programming tools

What's in it for you

At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you - both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

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Charles Schwabについて

Charles Schwab

Charles Schwab Corporation is a major American multinational financial services company that provides brokerage, banking, and financial advisory services to individual and institutional clients.

10,001+

従業員数

Westlake

本社所在地

$134B

企業価値

レビュー

4.3

10件のレビュー

ワークライフバランス

4.2

報酬

3.8

企業文化

4.1

キャリア

3.2

経営陣

4.4

78%

友人に勧める

良い点

Supportive management

Great work-life balance and flexibility

Excellent benefits and pay

改善点

Slow promotion and limited career advancement

Demanding work hours and fast-paced environment

Bureaucratic processes

給与レンジ

29件のデータ

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

L2 · Financial Analyst L2

0件のレポート

$102,538

年収総額

基本給

$41,015

ストック

$51,269

ボーナス

$10,254

$71,777

$133,299

面接体験

7件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

28%

体験

ポジティブ 14%

普通 58%

ネガティブ 28%

面接プロセス

1

Phone Screen

2

Interview

3

Background Check

よくある質問

Phone Interview

Recruiter Screening

Technical Assessment