Senior Cybersecurity Analyst

Fidelity; Westlake (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Fidelity is seeking a Senior Cybersecurity Analyst in Westlake, TX to identify, analyze and mitigate insider threats and data risks using multi-source analytics. The role includes building security controls across email, DNS, IDS/IPS, and cloud services, with a focus on data-driven metrics and governance.

You will develop dashboards and reports, improve detection rules, and collaborate with risk, compliance and information security to elevate enterprise security postures in a fully onsite

Job description

Senior Cybersecurity Analyst

Location: Westlake, TX | Team: Technology | Experience Level: Manager | Onsite

Overview

Fidelity is transitioning to a full-time onsite working model in phases by region and role. This description reflects current onsite expectations and does not apply to fully remote roles.

Location

• Westlake, TX

Team

• Technology

Experience Level

Manager

Job Description

Position Description:

Identifies, analyzes, and mitigates insider threats and data risks by leveraging multiple data sources and advanced analytical techniques. Assessing the effectiveness of existing threat detection and data protection controls through measurable, data-driven metrics. Builds email security, email and Web advanced threat protection, Domain Name System (DNS), Distributed Denial of Service (DDoS), Intrusion Detection Systems (IDS), Intrusion Prevention (IPS), and Cloud security. Recognizes and identifies attacks that may occur in each layer of the Open Systems Interconnection (OSI). Exchanges online protection using Microsoft O365 Suite. Understands malicious URLs using Symantec SiteReview. Prevents external attacks to systems using endpoint controls — firewall, antivirus, and host-based intrusion systems.

Primary Responsibilities:

• Monitors and investigates user behavior for indicators of potential insider threats, using data-driven behavioral analytics.

• Creates and maintains dashboards, reports, and executive summaries that communicate emerging risks, detection outcomes, and trends to technical and business audiences.

• Recommends improvements to detection rules, monitoring coverage, and escalation procedures, using findings from effectiveness reviews and incident post-mortems.

• Develops metrics to assess the accuracy and coverage of insider threat detections and controls.

• Tracks false positive and negative rates, detection latency, and incident response outcomes to improve detection logic.

• Partners with risk, compliance, and Information Security Officers to share findings, generate awareness, and influence how business groups manage insider risks.

Education and Experience

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Data Science, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Cybersecurity Analyst performing in-depth analysis to identify insider risk and data-loss-prevention events across exfiltration channels, endpoints, access logs, and database and server audit logs. Or, alternatively, a Master’s degree in the same fields (or foreign education equivalent) and one (1) year of such experience.

Skills and Knowledge

Candidate must also possess:

• Demonstrated Expertise designing and implementing data integration pipelines to consolidate structured and unstructured datasets into centralized data warehouses using AWS Glue, Athena, Oracle, MySQL, and Snowflake; developing analytics-ready data models using SQL, Python, Tableau, and Snowflake scripting; evaluating analytical systems by analyzing KPIs and processing latency to improve data quality, reliability, and reporting performance with Tableau and Power BI.

• Developing data models and performance dashboards using Tableau, Power BI, and Athena, and Snowflake; defining analytical metrics and trends; optimizing visualization performance on large datasets; and preparing root-cause analysis reports for senior stakeholders using Tableau, Power BI, and Python-based reporting.

• Developing Python-based automation scripts to perform data lookups, metadata joins, transformations, and enrichment of datasets in databases, implementing data categorization and analytical classification logic using Python and integrating outputs into operational dashboards and reports for leadership review using Tableau/Power BI.

• Designing data architectures and building multi-layered analytical models that combine transactional, behavioral, and operational datasets to establish analytical baselines and detect trends; developing ETL workflows and data-quality automation using AWS S3, Snowflake Tasks, CTAS, Streams, and stored procedures.

Certifications

Category: Information Technology

Additional Information

Please be advised that Fidelity’s business is governed by securities and investment-related laws and regulations. Those laws may restrict Fidelity from hiring individuals with certain criminal histories.

Apply

All fields are required. Candidates should limit the number of roles they apply to at any given time.

Benefits that balance life and work

From our fully paid parental leave to on-site health and wellness centers, our benefits support the belief that more balance helps you achieve your goals.

Company overview

At Fidelity, we are passionate about making financial expertise broadly accessible and effective. We value a diverse and inclusive workplace where associates are respected and welcomed for their unique perspectives and experiences.

Reasonable accommodations

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by email or phone.

Equal opportunity employer

Fidelity Investments is an equal opportunity employer that values inclusion and belonging.

Applicant screening

Some roles may require a preliminary credit check and background investigation. The investigation may include criminal, civil, regulatory, employment, education, and credit history as applicable. A pre-employment drug screen may be conducted where permitted by law.

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