Graduate Analyst Jobs
Graduate Analyst jobs are open across financial services, consulting, technology, healthcare, and government, from entry-level rotational programs to senior associate, with specializations in data analysis, financial modeling, and operations research. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 51+ Graduate Analyst jobs
About Us
Dashly is a fraud intelligence startup that uses data across employers, insurers, and contractors to fight fraud in injury claims. We expose fraud networks that cost Americans billions of dollars annually, slow commercial development, and erode trust in blue-collar industries.
Backed by Mosaic GP, Altai Ventures, and Remarkable Ventures, with a $5.8M seed round.
About the Role
Fraud is rarely one person acting alone. Organized claim fraud is often run by networks: groups of associated people acting together through a pattern of related claims over time. The cost falls on carriers, contractors, and the industries that depend on fair claims. The evidence is public but fragmented across dockets, deposition transcripts, claim files, and social media.
Dashly investigates organized fraud enterprises: formal or informal groups of individuals, and the counsel, providers, and associates around them, linked by shared addresses, phone numbers, employers, and narratives. We build cases around the structure of organized fraud: the enterprise, each member's association with it, a pattern of related conduct, how long that conduct continues, and its reach across state lines. Our work gives clients and their counsel evidence for fraud litigation.
As a Fraud Intelligence Analyst, you will design, run, and QA the automated OSINT workflows behind our investigations. You will build and orchestrate agentic AI workflows (LLM agents) for account discovery and attribution, court-filing and deposition extraction, media review, and report drafting. You will integrate third-party OSINT, licensed, and public-records data sources via API, and you will own detection quality (precision, recall, and false-positive rate) across the pipeline.
This role suits a recent graduate in cybercrime, cybersecurity, criminal justice, intelligence, computer science, or a related field who combines a builder's mindset with an investigator's rigor. Prior military or government experience is welcome.
What You'll Do
Design and operationalize automated OSINT workflows that take a claim from initial identifiers to a finished report: account discovery, attribution, collection, court-document extraction, and link analysis.
Build, prompt, and supervise AI agents and LLM-based automation for investigative tasks, with human-in-the-loop verification before any output reaches a client.
Integrate OSINT, licensed, and public-records data sources through their APIs, and evaluate each new data source on historical cases before production use.
Measure and improve detection quality: track precision, recall, and false-positive and false-negative rates against analyst-confirmed accounts, and tune workflows accordingly.
Identify, attribute, and verify claimants' online accounts and records using strong identifiers (address, phone, email, date of birth).
Review public photos and posts and flag activity that contradicts claimant testimony or statements to the insurer.
Extract facts from court filings, deposition transcripts, and claim files, and use link analysis to map relationships among claimants, counsel, addresses, phone numbers, and associates, documenting enterprise structure, member associations, and patterns of related conduct across claims.
Produce clear, evidence-backed investigative reports that clients and their counsel can use in fraud litigation.
Partner with senior investigators and engineers to refine investigative methods, tooling, and report quality.
Qualifications
Required: Experience using AI coding agents, terminal coding agents, or CLI-based AI development tools for research, writing, or code, with the judgment to validate their output (Claude Code, Codex, Antigravity, or open source tools).
Bachelor's or master's degree (or in progress) in cybercrime, cybersecurity, criminal justice, intelligence, computer science, or a related field.
0-2 years of experience in OSINT, investigations, threat intelligence, or a related discipline, including coursework, internships, CTF competitions, or military or government service.
Working knowledge of OSINT collection and analysis techniques and rigorous source documentation.
Preferred Qualifications
Experience integrating REST APIs and working with structured data (JSON), SQL for querying and analyzing large datasets.
Familiarity with graph and network analysis for detecting linked actor structures.
Understanding of detection-performance concepts (precision, recall, false positives).
Familiarity with court records and legal documents, including dockets, deposition transcripts, and fraud complaints.
Proficiency in Python or a similar scripting language for data analysis and task automation.
Compensation & Benefits
Compensation: The base salary range is $70,000 – $100,000, with flexibility depending on a candidate's background and experience. A company equity plan is also included in our compensation package.
Well-being: 100% medical coverage with dental and vision.
Sponsorship: We welcome candidates on OPT (Optional Practical Training). We do not offer other visa sponsorship.
Location: This role is based on-site 5 days per week in our Chelsea, NY office.
Work Expectations: This role requires a minimum of 50 hours per week.
Thank you for your interest in Dashly Intelligence. Dashly Intelligence is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need a reasonable accommodation during the application process, please contact our Recruiting team.
Compensation Range: $70K - $100K
About Us
Dashly is a fraud intelligence startup that uses data across employers, insurers, and contractors to fight fraud in injury claims. We expose fraud networks that cost Americans billions of dollars annually, slow commercial development, and erode trust in blue-collar industries.
Backed by Mosaic GP, Altai Ventures, and Remarkable Ventures, with a $5.8M seed round.
About the Role
Fraud is rarely one person acting alone. Organized claim fraud is often run by networks: groups of associated people acting together through a pattern of related claims over time. The cost falls on carriers, contractors, and the industries that depend on fair claims. The evidence is public but fragmented across dockets, deposition transcripts, claim files, and social media.
Dashly investigates organized fraud enterprises: formal or informal groups of individuals, and the counsel, providers, and associates around them, linked by shared addresses, phone numbers, employers, and narratives. We build cases around the structure of organized fraud: the enterprise, each member's association with it, a pattern of related conduct, how long that conduct continues, and its reach across state lines. Our work gives clients and their counsel evidence for fraud litigation.
As a Fraud Intelligence Analyst, you will design, run, and QA the automated OSINT workflows behind our investigations. You will build and orchestrate agentic AI workflows (LLM agents) for account discovery and attribution, court-filing and deposition extraction, media review, and report drafting. You will integrate third-party OSINT, licensed, and public-records data sources via API, and you will own detection quality (precision, recall, and false-positive rate) across the pipeline.
This role suits a recent graduate in cybercrime, cybersecurity, criminal justice, intelligence, computer science, or a related field who combines a builder's mindset with an investigator's rigor. Prior military or government experience is welcome.
What You'll Do
Design and operationalize automated OSINT workflows that take a claim from initial identifiers to a finished report: account discovery, attribution, collection, court-document extraction, and link analysis.
Build, prompt, and supervise AI agents and LLM-based automation for investigative tasks, with human-in-the-loop verification before any output reaches a client.
Integrate OSINT, licensed, and public-records data sources through their APIs, and evaluate each new data source on historical cases before production use.
Measure and improve detection quality: track precision, recall, and false-positive and false-negative rates against analyst-confirmed accounts, and tune workflows accordingly.
Identify, attribute, and verify claimants' online accounts and records using strong identifiers (address, phone, email, date of birth).
Review public photos and posts and flag activity that contradicts claimant testimony or statements to the insurer.
Extract facts from court filings, deposition transcripts, and claim files, and use link analysis to map relationships among claimants, counsel, addresses, phone numbers, and associates, documenting enterprise structure, member associations, and patterns of related conduct across claims.
Produce clear, evidence-backed investigative reports that clients and their counsel can use in fraud litigation.
Partner with senior investigators and engineers to refine investigative methods, tooling, and report quality.
Qualifications
Required: Experience using AI coding agents, terminal coding agents, or CLI-based AI development tools for research, writing, or code, with the judgment to validate their output (Claude Code, Codex, Antigravity, or open source tools).
Bachelor's or master's degree (or in progress) in cybercrime, cybersecurity, criminal justice, intelligence, computer science, or a related field.
0-2 years of experience in OSINT, investigations, threat intelligence, or a related discipline, including coursework, internships, CTF competitions, or military or government service.
Working knowledge of OSINT collection and analysis techniques and rigorous source documentation.
Preferred Qualifications
Experience integrating REST APIs and working with structured data (JSON), SQL for querying and analyzing large datasets.
Familiarity with graph and network analysis for detecting linked actor structures.
Understanding of detection-performance concepts (precision, recall, false positives).
Familiarity with court records and legal documents, including dockets, deposition transcripts, and fraud complaints.
Proficiency in Python or a similar scripting language for data analysis and task automation.
Compensation & Benefits
Compensation: The base salary range is $70,000 – $100,000, with flexibility depending on a candidate's background and experience. A company equity plan is also included in our compensation package.
Well-being: 100% medical coverage with dental and vision.
Sponsorship: We welcome candidates on OPT (Optional Practical Training). We do not offer other visa sponsorship.
Location: This role is based on-site 5 days per week in our Chelsea, NY office.
Work Expectations: This role requires a minimum of 50 hours per week.
Thank you for your interest in Dashly Intelligence. Dashly Intelligence is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need a reasonable accommodation during the application process, please contact our Recruiting team.
Compensation Range: $70K - $100K
See All 51 Graduate Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Graduate Analyst JobsGraduate Analyst Job Market
Who's Hiring
- National Grid13
- TikTok8
- Johns Hopkins University Applied Physics Laboratory7
- WTW5
- Momentum2
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in graduate analyst jobs.
- Bachelor's degree in finance, economics, mathematics, statistics, or a related quantitative field
- Proficiency in Microsoft Excel including financial modeling and pivot tables
- Experience with data analysis tools such as Python, R, SQL, or Tableau
- Strong written and verbal communication skills for presenting findings to stakeholders
- Ability to manage multiple projects under tight deadlines with attention to detail
- Familiarity with financial statements, valuation methods, or quantitative research techniques
Tips for Your Graduate Analyst Job Search
Tailor your resume for each vertical
Graduate analyst roles in investment banking demand different emphasis than those in management consulting or tech. Highlight quantitative coursework, relevant tools like Excel or Python, and any internship output that shows you can translate data into a recommendation.
Show your analytical output, not your inputs
Hiring managers for graduate analyst roles want to see what your analysis produced, not just that you ran regressions. Describe the decision your work supported, the size of the dataset, or the dollar impact your findings informed, even if the project was academic.
Apply early to roles that fit
Migrate Mate lists graduate analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Narrow your search by program type
Many graduate analyst openings are part of two-year rotational programs, while others are direct-hire permanent roles. Filtering for program structure early saves time and helps you pitch your interest more precisely in cover letters and interviews.
Prepare a structured case or analytical walkthrough
Most graduate analyst interviews include a technical exercise, a case study, or a request to walk through a past analysis. Practice explaining your methodology out loud, the assumptions you made, and how you would change your approach if the data shifted.
Follow up with a specific observation after your interview
A generic thank-you note rarely moves the needle. Reference a specific problem the team mentioned and add one concrete observation or data point that extends the conversation. This signals genuine analytical thinking, which is exactly what graduate analyst hiring teams are evaluating.
Graduate Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most graduate analysts?
The companies hiring the most graduate analysts right now include National Grid, TikTok, and Johns Hopkins University Applied Physics Laboratory, with the largest share of openings in California, New York, and Maryland, based on current listings on Migrate Mate as of November 2026. Financial services firms, consulting practices, and large technology companies consistently post the highest volume of graduate analyst openings nationwide.
How many graduate analyst jobs are remote?
About 44% of graduate analyst openings are fully remote or hybrid as of November 2026, though the share varies significantly by industry. Data and research-focused analyst roles tend to be more remote-friendly than client-facing or operations-based positions, which more often require on-site presence.
How do you become a graduate analyst?
Most graduate analyst roles require a bachelor's degree in a quantitative field such as finance, economics, statistics, or engineering. Build your technical foundation through coursework or self-study in Excel, SQL, or Python, and supplement it with internship experience that demonstrates applied analysis. Applying to rotational programs is a common entry point for those without direct full-time experience.
Can you get a graduate analyst job with little or no experience?
Yes, many graduate analyst roles are explicitly designed for recent graduates with limited professional experience. Employers in this category evaluate academic performance, analytical coursework, and project work rather than years on the job. Building a portfolio of case studies, research papers, or personal data projects gives you concrete material to discuss in interviews and strengthens applications significantly.
What does the graduate analyst interview process look like?
The graduate analyst interview process typically moves through a screening call with a recruiter, a technical assessment or take-home exercise involving data or modeling tasks, and one or two rounds of behavioral and case-based interviews with team members or managers. Some employers also include a group exercise or presentation component, particularly for rotational program roles in consulting or financial services.
Where can I find and apply to graduate analyst jobs?
You can find and apply to graduate analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the roles available, find the ones that match your background and interests, and apply directly to each listing from the page.
See All 51 Graduate Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Graduate Analyst Jobs