Sr. Support Analyst

Senior Support Analyst at Nomura, Mumbai

Nomura is seeking an experienced, security-focused Data Scientist to join their Global IT Security Team in Mumbai. This role is crucial for enhancing the team's data capabilities, supporting growing data needs across various security initiatives. The ideal candidate will lead data mining and analytics efforts, interpret data visualizations, and facilitate the reporting of large, integrated datasets comprising structured and unstructured data. A key aspect of this role involves developing automation and tools to leverage proprietary data sources, driving more intelligent, data-driven decisions.

We are looking for an individual passionate about making an impact through data. You will elevate the Global Security team's standing by employing innovative analytical methods, with a strong emphasis on understanding business needs and delivering tangible business value. A keen interest in machine learning and automation is essential, along with a readiness to expand your skills as the field evolves.

Responsibilities:

• Support the Global Head of IT Security in leveraging proprietary data for senior and executive management.
• Develop and implement automation capabilities and tools for Threat Intelligence.
• Develop and implement automation capabilities and tools for Digital Risk initiatives.
• Enhance the reporting of risk and governance outputs.
• Contribute to the creation of Nomura's data lake.
• Manage data onboarding from diverse security log sources.
• Perform data enrichment and parsing.
• Monitor the health of the ELK infrastructure.
• Provide ad-hoc technical support to the Global IT Security team.
• Continuously research industry best practices and pursue skill development to build new data analytics capabilities.
• Implement metrics, scorecards, and dashboards to track the effectiveness, engagement, and business impact of the Global IT Security team.
• Assist the Security Operations Center (SOC) with complex Elasticsearch queries for threat detection and hunting.
• Develop and enhance anomaly detection within ELK using various machine learning techniques based on collected data.

Required Experience:

• Proven experience delivering data science-based projects within an IT security environment.
• Strong synthetic thinking skills, with the ability to identify connections between datasets and derive business-relevant insights for diverse stakeholders.
• Proficiency in data science and statistical analysis using R or Python.
• Robust data management skills, including SQL.
• Hands-on experience with Elastic agents (Logstash, Beats family) and Elastic Query Language, filters, and Query DSL.
• Ability to merge large datasets, generate insights, and visualize them for both technical and non-technical audiences.
• Practical experience working with third-party security vendors.
• Demonstrable inquisitiveness and the ability to independently pursue lines of inquiry.
• Excellent written and verbal communication skills for cross-team coordination.
• Prior experience in the financial sector or a multinational company, working across different time zones.
• Awareness of malware, hacking tools, and advanced threat actor tactics, tools, and techniques is a significant advantage.
• Understanding of and experience with modern technical security controls and technologies (e.g., TIPs, SOARs, firewalls, SIEMs, IPS, HIPS, web proxies).
• Knowledge of cyber threat intelligence models (e.g., MITRE ATT&CK, Kill Chain, Diamond Model).
• Hands-on experience with Ansible, Ansible roles, and Ansible Tower.
• Hands-on experience with Git repositories (GitLab).
• Minimum 2+ years of hands-on experience with Elasticsearch, Logstash, and Kibana (ELK).
• ServiceNow experience in handling tickets, changes, and service requests.

Qualifications:

• 5+ years of experience in a professional data science role, preferably in security.
• Experience with a wide variety of major data science/statistical analytics tools and programming languages (e.g., Python, SPSS Modeler, SAS, R, Scala, Spark).
• Working experience with visual analytical tools such as Tableau, Power BI, or Kibana.
• Understanding of data structures, data modeling, and Elastic ELK architecture, data pipelines, Grok patterns, and Index Lifecycle Management.