S

S&P Global

Delivers credit ratings, market data, indices

Threat Detection Engineer

Full-TimePosted on 10/28/2026
No salary listed
Senior
Hyderabad, Telangana, India
In Person
CybersecuritySecurity Operations & Incident Response

About the job

Requirements
  • 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.

About the company

S&P Global supplies financial information, analytics, and benchmarks to investors, corporations, and governments. Its offerings include credit ratings, market intelligence, and indices, along with price assessments and energy data. Clients access these tools through subscriptions, licensing, and transaction-based services, integrating data and research into their workflows. The company aims to help clients assess risk, make informed decisions, and drive growth while upholding corporate responsibility and ESG commitments.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1917

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Simplify's Take

What believers are saying

  • September 2026 Kaiko and OpenZeppelin bets position S&P Global early in tokenized markets.
  • September 1, 2026 datacenterHawk completion strengthens AI infrastructure intelligence and power-market coverage.
  • October 2026 AI Data Portal ratings access reduces analyst friction and deepens enterprise workflows.

What critics are saying

  • August 2026 antitrust claims against CUSIP Global Services threaten identifier economics and fee power.
  • Saugata Saha left Market Intelligence on July 30, 2026, weakening execution continuity.
  • Regulators can attack ratings and benchmarks simultaneously, forcing structural remedies and revenue compression.

What makes S&P Global unique

  • S&P Global combines ratings, indices, and market data into one institutional workflow.
  • September 2026 OpenZeppelin adds onchain security expertise to S&P Global's risk franchise.
  • October 2026 Vault Risk Assessments extend S&P Global Ratings into digital-asset lending.

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Benefits

  • Health Insurance
  • Unlimited Paid Time Off
  • Professional Development Budget
  • 401(k) Company Match
  • Family Planning Benefits
  • Employee Discounts

Company News

Yahoo Finance
Oct 27th, 2026
S&P Global vs. Toast: $15.3B revenue steady giant or 24% growth disruptor?

S&P Global and Toast offer investors a choice between stability and rapid growth, according to a Motley Fool comparison. S&P Global reported fiscal 2025 revenue of nearly $15.3 billion, up about 7.9%. Net income was roughly $4.5 billion, a margin of close to 29.2%, and free cash flow reached close to $5.5 billion. Toast's revenue rose about 24.1% to roughly $6.2 billion. It posted net income of nearly $342.0 million, a 5.6% margin, and free cash flow of nearly $608.0 million. Toast trades at a price-to-sales ratio of 2.8x, against 8.4x for S&P Global. Forward price-to-earnings ratios are similar, at 22.8x for Toast and 25.3x for S&P Global. The author plans to buy both stocks, calling S&P Global the steadier pick and Toast the higher-growth one.

Yahoo Finance
Oct 26th, 2026
S&P Global earnings on October 27: stock rose after only 45% of reports in five years

S&P Global (NYSE:SPGI) will report earnings on October 27, 2026. The company has a market value of about $133 billion. Over the last twelve months it made $16.1 billion in revenue, $6.7 billion in operating profit, and $4.9 billion in net income. In the last five years, the stock rose the day after 9 of 20 releases, or 45% of the time. The median gain was 3.9% and the median loss was 2.1%. The largest moves were 7.0% and -9.7%. Early moves have not reliably predicted later returns; all correlations were below 0.40 in absolute terms. Peers Moody's and MSCI have already reported, rising 1.2% and 5.0%. Their past reactions have not been a reliable signal for S&P Global, with correlations of 0.38 and -0.36.

Yahoo Finance
Oct 24th, 2026
S&P Global's Q3 test: AI API growth and $11T refinancing wave face slower renewals

S&P Global reports third-quarter results on October 27, its first full quarter as a four-division company after completing the Mobility spin-off on July 1. Investors will watch whether its AI push turns into revenue. Last quarter, revenue reached $4.146B. Ratings grew 17% and Indices 20%, but Market Intelligence rose only 6%. Larger customers are delaying renewals while they negotiate AI use and IP protection. Customers on LLM-ready APIs topped 500, up more than 70% from the prior quarter. Management expects about $11 trillion of rated debt to need refinancing over the next 4.5 years, which should support Ratings. Full-year adjusted EPS guidance is $17.50 to $17.75. The company raised its 2026 buyback target to more than $7 billion.

Yahoo Finance
Oct 23rd, 2026
S&P 500 and Dow fall as oil hits $103 a barrel, stoking inflation fears before Fed meeting

US stocks fell on Friday as higher oil prices fuelled inflation fears ahead of the Federal Reserve's October meeting next week. The S&P 500 lost 0.5% and the Dow Jones Industrial Average dropped 1.2%, while the Nasdaq 100 ended flat. West Texas Intermediate futures rose 3.8% to $103.27 a barrel. Brent crude gained 3.1% to $116.72, its highest settlement since April, amid reports the US and Israel could be preparing fresh strikes against Iran. Traders see a 91% chance the Fed leaves rates unchanged. In company news, Instacart is exploring a sale and has held early talks with buyers including DoorDash and Uber. American Express plans to cut about 5% of its global workforce, and Apple hit record highs after selling out its limited in-store stock of the new iPhone Duo.

PR Newswire
Oct 22nd, 2026
S&P Global expands AI in iLEVEL, linking private markets data to Copilot and Claude

S&P Global has expanded AI capabilities across its private markets business, centred on its iLEVEL platform for portfolio monitoring, valuations, reporting and data management. The company announced the changes in New York on October 22, 2026. iLEVEL now embeds AI, including a native agent and natural-language search. Its MCP server lets customers link iLEVEL data to AI tools such as Copilot and Claude while keeping existing access controls. Other upgrades include tighter integration with S&P Global Private Market Valuations, covenant monitoring for private credit, and expanded performance analytics datasets across private credit, real assets, and private equity. iLEVEL has served more than 700 private markets firms worldwide over more than 15 years.