M

Morgan Stanley

Manages investments and advises on financing

Senior Detection Engineer

Full-TimeUpdated on 10/15/2026
No salary listed
Expert
Singapore
In Person
CybersecuritySecurity Operations & Incident Response

About the job

Requirements
  • At least 7 years of related hands-on experience in detection engineering, threat hunting, security engineering, incident response, blue teaming, malware analysis and reverse engineering, security operations engineering, or a related cybersecurity field.
  • Strong cyber technical knowledge, including adversary tactics, techniques, and procedures; enterprise attack paths; common post-exploitation behaviors; malware and command-and-control patterns; identity abuse; endpoint activity; network behavior; and security telemetry.
  • Demonstrated experience in at least one of the following areas: adversary infrastructure hunting, malware analysis and reverse engineering, command-and-control infrastructure analysis, phishing infrastructure analysis, botnet infrastructure hunting, tooling fingerprinting, or attacker abuse of legitimate services.
  • Strong Python development skills, including the ability to write maintainable code, work with application programming interfaces, process structured and unstructured data, automate complex workflows, troubleshoot issues, and build tools used by other security practitioners.
  • Practical experience building automation or tooling for security analysis, detection engineering, threat hunting, incident investigation, data enrichment, infrastructure hunting, tooling fingerprinting, reverse engineering workflows, or operational efficiency.
  • Experience analyzing large volumes of security data, logs, alerts, indicators, telemetry, infrastructure patterns, or tool behaviors to identify suspicious activity and understand adversary behavior.
  • Strong understanding of detection engineering concepts, including detection design, rule tuning, alert quality, coverage analysis, false-positive reduction, detection validation, and lifecycle management.
  • Ability to translate technical findings from infrastructure hunting, tooling analysis, malware analysis and reverse engineering, and investigations into hunting opportunities, detection logic, surveillance strategies, or automated analysis.
  • Ability to gather requirements from stakeholders and turn investigative, operational, or technical hunting needs into practical technical solutions.
  • Strong written and verbal communication skills, with the ability to explain technical findings, detection logic, and engineering tradeoffs to both technical and non-technical stakeholders.
  • Curiosity, analytical rigor, attention to detail, and a desire to build scalable tools and detections that improve cyber defense outcomes.
Responsibilities
  • Design, develop, test, tune, and maintain detection logic to identify suspicious activity across endpoint, network, identity, application, and other enterprise telemetry sources.
  • Hunt for adversary infrastructure, tooling, command-and-control patterns, phishing infrastructure, staging infrastructure, and attacker abuse of legitimate services.
  • Translate infrastructure, tooling, malware analysis and reverse engineering findings, hunt hypotheses, and investigative findings into practical detection strategies and measurable detection coverage.
  • Use Python to automate analysis, enrich security data, build investigative workflows, integrate with internal and external application programming interfaces, and improve bespoke threat hunting and detection tools.
  • Build and maintain tooling that helps analysts and engineers process large data sets, identify infrastructure and tooling patterns, validate detection ideas, reduce manual effort, and accelerate investigation outcomes.
  • Analyze security telemetry and suspicious activity to understand attacker behavior, validate detection quality, identify coverage gaps, and recommend engineering improvements.
  • Apply adversary infrastructure hunting or malware analysis and reverse engineering expertise to identify detection opportunities, improve investigative context, and strengthen proactive surveillance.
  • Work with security analytics platforms, detection-as-code workflows, version control, peer review, and testing practices to improve the quality, maintainability, and reliability of detection content.
  • Collaborate with threat intelligence, incident response, and purple team stakeholders to convert technical findings into high-fidelity detections and proactive surveillance opportunities.
  • Research emerging adversary tradecraft, malware behaviors, command-and-control patterns, infrastructure usage, and tooling relevant to the Firm's threat landscape.
  • Provide technical guidance to junior team members through code reviews, detection reviews, investigation support, documentation, and knowledge sharing.
  • Contribute to engineering standards for detection development, Python tooling, testing, documentation, and operational handover.
  • Help mature the team's approach to threat-informed defense, adversary infrastructure hunting, malware-informed detection, detection validation, and scalable security analytics.
Desired Qualifications
  • Exposure to adversary emulation, purple-team exercises, red-team collaboration, or threat-informed defense.
  • Experience designing dashboards, notebooks, data pipelines, enrichment services, or internal tools for security analysts and investigators.
  • Relevant cybersecurity certifications.

About the company

Morgan Stanley advises companies and governments on financing and manages investments for institutions, individuals, and families. Its business combines investment banking and securities trading with wealth management and an asset-management division that invests across public and private markets. Bankers arrange stock and bond sales and advise on mergers, while advisors build client portfolios and fund managers invest money under agreed strategies. The firm earns advisory and management fees, trading revenue, commissions, and interest from lending and deposits. Morgan Stanley was founded as a partnership in 1935 and is headquartered in New York City.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1935

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Simplify's Take

What believers are saying

  • Business activity supports expansion: Morgan Stanley reported $21.3 billion quarterly revenue in July 2026, versus $16.8 billion a year earlier.
  • Dallas careers have a future pipeline: Morgan Stanley announced plans for 3,800 jobs by 2035 in September 2026.
  • Recurring fees anchor wealth management: asset-management fees supplied 59% of Morgan Stanley Wealth Management's 2025 revenue.

What critics are saying

  • Staff stability is uneven: Reuters reported Morgan Stanley cut 2,500 jobs across divisions in March 2026, excluding financial advisors.
  • Falling markets squeeze fees: Morgan Stanley bases wealth and asset-management fees on client portfolio values.
  • Asset-manager inflows weakened: Morgan Stanley reported $7.5 billion long-term net flows in July 2026, versus $12.2 billion a year earlier.

What makes Morgan Stanley unique

  • Retail clients choose their service level: Morgan Stanley combines E*TRADE trading with virtual and dedicated financial advisors.
  • Workplace investing has dedicated infrastructure: Morgan Stanley runs Shareworks and E*TRADE stock-plan platforms for customer employees.
  • Specialist investing extends its reach: Morgan Stanley owns portfolio-customization firm Parametric and responsible-investing firm Calvert.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Mental Health Support

Wellness Program

Company News

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