This listing doesn't post a salary. Most similar roles pay
$119,762–$177,312.
Based on 240 similar postings.
Employer
About Fidelity Financial Services
Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management
Fidelity Financial Services currently has
73 open roles
on FindRole.
Listed pay typically runs
$126,000–$199,592
across 17 roles with salary data.
The Analyst, Fraud Data Analytics and Insights joins the Fraud Risk and Control organization within Enterprise Cyber Security to support data analytics across fraud prevention, risk assessments, controls, and policy decisions. This role involves performing operational reporting for global operations, monitoring fraud loss trends, and analyzing recent fraud events while building domain expertise in complex transaction and trading data environments. The successful candidate will communicate findings and provide recommendations to internal stakeholders and cybersecurity partners. Key technical requirements include hands-on experience with SQL, Python, and ETL tools such as SnapLogic, Alteryx, or Informatica. Additionally, the role requires proficiency in data exploration and visualization using Power BI or Tableau. Candidates must possess strong problem-solving skills to identify patterns within large structured and unstructured datasets to address complex business problems related to fraud detection and risk management.
Perform data analysis to support fraud prevention, risk assessments, and policy decisions.
Generate operational reporting for global operations, fraud losses, and analytical trends.
Analyze large, complex structured and unstructured datasets using SQL and other programming languages.
Develop visualizations and dashboards using tools like Power BI or Tableau.
Identify patterns in transaction, trading, and customer data to resolve complex business problems.
Provide actionable recommendations to stakeholders regarding fraud risk and cyber security.
Utilize ETL tools such as SnapLogic, Alteryx, or Informatica to process data.
What we're looking for
Bachelor’s or master’s degree in a quantitative, analytics, or technical field (e.g., Data Science, Statistics, Engineering, Computer Science, Economics) or equivalent experience.
2 plus years of experience in the financial services industry.
Hands-on experience using SQL and analytical platforms to work with large, complex, structured, and unstructured datasets.
Proven experience with data exploration and visualizations using Power BI or Tableau.
Fraud or risk related experience (preferred).
Experience with Python or other programming languages (preferred).
Familiarity with ETL tools such as SnapLogic, Alteryx, or Informatica.
Prior project experience leveraging financial transaction, trading, and customer data (preferred).
SQL
Python
AI
Graph Analysis
Anomaly Detection
Data Science
Rule Engines
BI Tools
Case Management Systems
Threat Modeling
Incident Response
Root Cause Analysis
Data Querying
Scripting
Automation