トレンド企業

Charles Schwab
Charles Schwab

Investment services and wealth management firm

AI Enablement - Treasury Analytics

職種データサイエンス
経験ミドル級
勤務地Lone Tree, CO; Westlake, TX
勤務オンサイト
雇用正社員
掲載2週間前
応募する

Pay range:

USD $105,600.00 - $225,000.00 / 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.

Treasury plays a critical role in safeguarding the company's financial health, managing liquidity, cash flow, funding, and risk across the enterprise. Through an integrated risk-stripe approach spanning market, liquidity, and capital risk, Treasury actively manages the firm's balance sheet to support sustainable business growth. In parallel, Treasury operates deeply embedded cash management and settlement functions that ensure daily obligations are met, while owning fund transfer pricing capabilities that enable the businesses to accurately attribute profitability

As Treasury continues to modernize, we are investing heavily in data, cloud platforms, and AI to elevate analyst productivity, decision-making speed, and analytical depth. This role sits at the center of that transformation.

The Senior Manager, Treasury Cloud & AI Platforms will lead the design and evolution of cloud-native data and AI capabilities that directly power Treasury analyst workflows. This role is responsible for building the technical foundation that enables advanced analytics, data products, and AI-assisted insights across Treasury.

What you have Required Qualifications

  • 8+ years of experience in software, data, or platform engineering
  • Strong hands-on experience with cloud-based technologies, preferably GCP
  • Advanced proficiency in Python
  • Demonstrated experience with open-source data and AI tooling
  • Strong background in data engineering and building data systems
  • Experience implementing CI/CD, DevOps, and production operations
  • Working knowledge of modern analytics and AI stacks, including:
  • dbt, dlt, DuckDB
  • Vector search / embeddings
  • LLM-based systems

What you'll do:

This is a hands-on technical leadership role for someone who is equally comfortable designing cloud-based platforms, working with open-source tooling, and partnering with Treasury stakeholders to operationalize AI.

You will:

  • Build and scale cloud-native data and AI platforms on GCP
  • Enable Treasury analysts through LLMs, vector search, and AI tooling
  • Establish modern data engineering and DevOps practices
  • Translate analytical and business needs into production-grade systems

The role contributes directly to embedding AI into day-to-day Treasury workflows.

Key Responsibilities:

Cloud & Platform Engineering:

  • Architect, build, and operate cloud-native platforms on GCP
  • Own infrastructure patterns for data, analytics, and AI services
  • Ensure platforms are secure, scalable, observable, and resilient

Data Engineering & Analytics Enablement:

  • Design and maintain modern data pipelines and data models
  • Strong software engineering skills, including experience building services and APIs using at least one modern programming language (such as Python, C#, or Java).
  • Build analytical systems using tools such as dbt, dlt, DuckDB, and Cloud-native storage and compute
  • Enable consistent, trusted data access for Treasury analytics

AI & Advanced Analytics:

Enable AI-driven Treasury workflows using:

  • Vertex AI
  • Large Language Models (LLMs)
  • Vector search / embeddings
  • Partner with analysts to productionize AI-assisted research, analysis, and reporting
  • Evaluate and integrate emerging open-source AI and data tooling

DevOps & CI/CD

  • Establish and enforce CI/CD pipelines for data and AI workloads
  • Partner with security and platform teams to align with enterprise standards
  • Promote Infrastructure-as-Code and automation-first practices

Technical Leadership

  • Act as a technical thought leader within Treasury Technology
  • Mentor engineers and analysts on modern data and AI practices
  • Influence standards, patterns, and tooling choices across the organization

In addition to the salary range, this position is also eligible for bonus or incentive opportunities

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

10件のレビュー

4.2

10件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

4.5

キャリア

3.2

経営陣

4.0

75%

知人への推奨率

良い点

Supportive and approachable management

Great work-life balance and flexibility

Excellent benefits and competitive pay

改善点

High pressure and demanding workload

Limited career advancement opportunities

Fast-paced environment causing stress

給与レンジ

30件のデータ

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L3

L4

L5

Junior/L3 · Data Scientist I

0件のレポート

$105,400

年収総額

基本給

-

ストック

-

ボーナス

-

$89,590

$121,210

面接レビュー

レビュー7件

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