P

Point72

Manages alternative investments across global markets

Data Security Engineer

Security Engineering & ArchitecturePosted on Nov 11
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 5 years of security engineering experience, including at least 3 years focused on data protection or data loss prevention.
  • Hands-on experience deploying and operating data protection platforms such as Microsoft Purview, including sensitivity labels, auto-labeling, policies, sensitive information types, trainable classifiers, and endpoint controls.
  • Hands-on experience administering a data protection platform covering permissions analysis, classification, alerting, and automated remediation across on-premises and cloud data stores.
  • Experience enforcing data loss prevention through secure web gateways and cloud access security brokers such as Zscaler, Palo Alto Networks, or Netskope.
  • Experience securing cloud collaboration and storage platforms such as Box, SharePoint Online, and OneDrive using native access policies and external sharing controls.
  • Working knowledge of productivity suite administration such as Microsoft 365 across Exchange Online, SharePoint Online, OneDrive, and Teams.
  • Scripting ability in PowerShell or Python, including experience with platform and vendor APIs such as Microsoft Graph.
  • Experience securing structured data through database activity monitoring, database classification, or SaaS data protection.
  • Understanding of data classification frameworks and regulatory requirements relevant to financial services, with experience delivering sprint backlog items through verified completion and cross-team collaboration.
  • Commitment to the highest ethical standards.

Responsibilities

  • Design and operate enterprise data loss prevention controls across endpoints, email, collaboration platforms, and cloud storage.
  • Deploy data protection policies across email, file storage, collaboration platforms, and endpoint devices.
  • Build and maintain the classification taxonomy, sensitivity labels, auto-labeling rules, sensitive information types, and trainable classifiers that improve policy matching.
  • Administer data access governance controls that identify overexposed, stale, and sensitive data and support least-privilege remediation.
  • Extend classification and protection coverage to databases, SaaS applications, and cloud object storage.
  • Integrate egress enforcement with secure web gateway, cloud access security broker, and collaboration platform access controls.
  • Tune policies using telemetry to reduce false positives while preserving detection coverage across communication and storage channels.
  • Operate incident workflows for alert triage, user notification, security escalation, and evidence retention.
  • Automate policy deployment, reporting, and remediation through scripting and APIs.
  • Maintain data protection standards, policy documentation, and change control for classification and data loss prevention changes.

About the Company

Point72

Manages alternative investments across global markets

Point72 manages alternative investment funds for investors seeking actively managed exposure to public and private markets. Its investment teams research companies, analyze market data and trade across equities, currencies, fixed income and other assets through fundamental, systematic and macro strategies. Cubist is its systematic investing business, while separate teams pursue venture capital and private credit opportunities. The firm provides portfolio managers with research, technology, risk management and operational support, and earns advisory fees and performance-based compensation under each fund's terms. Point72 was founded in 2014 and is headquartered in Stamford, Connecticut.

Company size
1,001-5,000
Company stage
Private
Total funding
$10.3B
Headquarters
Stamford, CT
Founded
2014

Recently Posted Jobs

Explore more opportunities at Point72

See more jobs