Compliance, Surveillance & Models-Software Engineering, Vice President, Dallas

The Core Engineering

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities;
Controllers, responsible for the financial control and reporting obligations;
Compliance, responsible for the firm’s compliance, regulatory, and reputational risks;
Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units:

Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions

The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics

Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions

Non-Financial Risk & Controls: responsible for non-financial risk and control processes

Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement

Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk

HOW YOU WILL FULFILL YOUR POTENTIAL

As a member of our team, you will:

• partner globally with sponsors,usersand engineering colleagues across multiple divisions to create end-to-end solutions,
• learn from experts
• leverage various technologies depending on the team including Java, Python, PySpark,SQL, Hadoop, Snowflake, Iceberg, Kafka, Kubernetes
• apply analytical and functional skills to design surveillance processes to identify risks
• be able to innovate and incubate new ideas
• havean opportunity to work on a broad range of problems, often dealing with large data sets,including real-time processing, messaging,workflow and UI/UX
• be involved inthe full life cycle; defining,designing, implementing, testing, deploying, and maintaining software acrossour products.

In addition, you will:

• Effectively use
  AI‑assisted software development tools (e.g., Git Hub Copilot, Devin, Claude Code, or equivalent) to improve developer productivity and reduce development cycle time.
• Apply AI tools to accelerate:
  • code generation and refactoring,
  • test creation and coverage improvement,
  • debugging, root‑cause analysis, and performance optimization.
• Use AI‑assisted reasoning to understand complex codebases, rapidly prototype solutions, and improve code quality while maintaining strong engineering standards.
• Partner with peers and reviewers to
  validate, harden, and product ionize AI‑generated outputs
  , ensuring correctness, security, maintainability, and regulatory compliance.
• Identify opportunities where AI tooling can reduce manual effort, minimize rework, and support faster, higher‑quality delivery to production.

QUALIFICATIONS

A successful candidate will possess the following attributes:

• A Bachelor's or Master's degreein Computer Science, Computer…