Threat Detection Engineer

S&P Global; Hyderabad; On-site; INR 900,000 - 1,800,000; Full time

Job summary

S&P Global's Cyber Fusion Center in Hyderabad seeks a hands-on threat detection specialist. You will design, develop, test, and maintain detections across SIEM, EDR/XDR, cloud, network, and identity security platforms using Splunk SPL, Microsoft Sentinel KQL, Elastic, Sigma, and YARA.

You will apply AI/ML techniques, build data pipelines with Python, SQL, Pandas, NumPy and Databricks, map detections to MITRE ATT&CK, and collaborate with SOC, IR, Threat Intelligence, and Cloud Security teams to

Qualifications

• Five or more years of experience in cybersecurity, threat detection, detection engineering, threat hunting, security analytics, or a related field.
• Strong knowledge of security operations, incident response, threat intelligence, attack techniques, and enterprise security technologies.
• Hands-on experience developing detections for SIEM, EDR/XDR, cloud, network, identity, or application security platforms.
• Strong Python and SQL skills, including experience processing and analyzing large security datasets.
• Practical experience with data science and machine learning methods, including: Data preparation and exploratory analysis, Feature engineering, Anomaly detection, Classification and clustering, Model evaluation and performance tuning.
• Experience with Python libraries such as Pandas, NumPy, scikit-learn, Matplotlib, or equivalent tools.
• Experience using Databricks, data lakes, Spark, or other large-scale data processing platforms.
• Experience with one or more detection technologies, such as Splunk SPL, Microsoft Sentinel KQL, Elastic, Sigma, YARA, Suricata, Snort, or EDR query languages.
• Understanding of MITRE ATT&CK and the detection engineering lifecycle, including design, development, testing, deployment, tuning, monitoring, and retirement.
• Strong analytical, problem-solving, documentation, and communication skills.

Responsibilities

• Design, develop, test, and maintain high-quality detections for threats including malware, ransomware, identity attacks, insider threats, cloud threats, network, AI, and advanced persistent threats.
• Develop detection logic across SIEM, EDR/XDR, cloud, network, identity, and application security platforms using tools such as Splunk SPL, Microsoft Sentinel KQL, Elastic Query DSL, Sigma, and YARA.
• Apply artificial intelligence, machine learning, and data science techniques to identify anomalous behavior, emerging threats, attack patterns, and indicators of compromise.
• Build and maintain security analytics and data pipelines using Python, SQL, Pandas, NumPy, scikit-learn, and Databricks.
• Perform feature engineering, statistical analysis, model development, testing, tuning, and performance monitoring for security use cases.
• Conduct threat hunting and hypothesis-driven investigations to identify gaps in existing detection coverage.
• Map detections to the MITRE ATT&CK framework and improve coverage of priority attack techniques.
• Analyze false positives, false negatives, alert quality, and detection performance, implementing improvements based on measurable results.
• Collaborate with SOC, Incident Response, Threat Intelligence, SOAR, Cloud Security, and Vulnerability Management teams to develop effective detection capabilities.
• Implement detection-as-code practices using version control, peer review, automated testing, CI/CD, documentation, and controlled deployment.
• Support purple-team exercises, adversary simulations, attack replay, and detection validation activities.
• Explore the use of Generative AI, Large Language Models, and Agentic AI to improve threat research, detection development, alert analysis, and investigations.
• Develop Power BI dashboards and reports to communicate detection coverage, alert trends, model performance, data quality, and operational metrics.
• Document detection logic, data sources, analytical methods, model limitations, investigation procedures, and response recommendations.

Skills

Threat detection

Python

SQL

Data science

Machine learning

MITRE ATT&CK

Cloud security

Tools

Splunk SPL

Microsoft Sentinel KQL

Elastic

Sigma

YARA

Suricata

Snort

Job description

About the Role:

Grade Level (for internal use): 11 The Team The Cyber Fusion Center protects the business by combining threat intelligence, monitoring, detection engineering, incident response, and security automation into one proactive, intelligence-led defense capability. By breaking down silos, the team reduces risk and strengthens security across the enterprise.

The team prioritizes collaboration, continuous learning, and innovation, with shared ownership of outcomes and a supportive learning mindset during high-pressure situations. This is a hands-on, build-driven environment where team members work with real-world use cases, rapidly develop new capabilities, and continuously improve the organization's ability to detect, investigate, and respond to emerging threats.

Responsibilities and Impact

• Design, develop, test, and maintain high-quality detections for threats including malware, ransomware, identity attacks, insider threats, cloud threats, network, AI, and advanced persistent threats.
• Develop detection logic across SIEM, EDR/XDR, cloud, network, identity, and application security platforms using tools such as Splunk SPL, Microsoft Sentinel KQL, Elastic Query DSL, Sigma, and YARA.
• Apply artificial intelligence, machine learning, and data science techniques to identify anomalous behavior, emerging threats, attack patterns, and indicators of compromise.
• Build and maintain security analytics and data pipelines using Python, SQL, Pandas, NumPy, scikit-learn, and Databricks.
• Perform feature engineering, statistical analysis, model development, testing, tuning, and performance monitoring for security use cases.
• Conduct threat hunting and hypothesis-driven investigations to identify gaps in existing detection coverage.
• Map detections to the MITRE ATT&CK framework and improve coverage of priority attack techniques.
• Analyze false positives, false negatives, alert quality, and detection performance, implementing improvements based on measurable results.
• Collaborate with SOC, Incident Response, Threat Intelligence, SOAR, Cloud Security, and Vulnerability Management teams to develop effective detection capabilities.
• Implement detection-as-code practices using version control, peer review, automated testing, CI/CD, documentation, and controlled deployment.
• Support purple-team exercises, adversary simulations, attack replay, and detection validation activities.
• Explore the use of Generative AI, Large Language Models, and Agentic AI to improve threat research, detection development, alert analysis, and investigations.
• Develop Power BI dashboards and reports to communicate detection coverage, alert trends, model performance, data quality, and operational metrics.
• Document detection logic, data sources, analytical methods, model limitations, investigation procedures, and response recommendations.

What We're Looking For

• Five or more years of experience in cybersecurity, threat detection, detection engineering, threat hunting, security analytics, or a related field.
• Strong knowledge of security operations, incident response, threat intelligence, attack techniques, and enterprise security technologies.
• Hands-on experience developing detections for SIEM, EDR/XDR, cloud, network, identity, or application security platforms.
• Strong Python and SQL skills, including experience processing and analyzing large security datasets.
• Practical experience with data science and machine learning methods, including: Data preparation and exploratory analysisFeature engineeringAnomaly detectionClassification and clusteringModel evaluation and performance tuning
• Experience with Python libraries such as Pandas, NumPy, scikit-learn, Matplotlib, or equivalent tools.
• Experience using Databricks, data lakes, Spark, or other large-scale data processing platforms.
• Experience with one or more detection technologies, such as Splunk SPL, Microsoft Sentinel KQL, Elastic, Sigma, YARA, Suricata, Snort, or EDR query languages.
• Understanding of MITRE ATT&CK and the detection engineering lifecycle, including design, development, testing, deployment, tuning, monitoring, and retirement.
• Strong analytical, problem-solving, documentation, and communication skills.

What's In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a differ