How to Apply to Fair Isaac

14 min read Last updated April 20, 2026 33 open positions
Blake Crosley
Blake Crosley Researched using publicly available information, hiring data, and ATS analysis.

Key Takeaways

  • FICO is a 3,500-person NYSE-listed analytics software company headquartered in Bozeman, Montana, founded in 1956 by Bill Fair and Earl Isaac, best known for the FICO Score used in more than 90 percent of U.S. consumer lending decisions and the FICO Platform suite including the industry-standard Falcon fraud engine.
  • Apply exclusively through fico.com/en/careers, which redirects to the official Workday tenant at fico.wd1.myworkdayjobs.com/External; one Workday profile covers all FICO requisitions globally across Scores, Software, Analytics, Professional Services, and Cloud Operations.
  • Expect a recruiter screen, an online coding or analytics assessment for most technical roles, one to three technical panels, and a hiring manager round; Glassdoor averages the full process at roughly 27 days for software engineers and 16 days for analytic scientists, faster than many public-company peers.
  • Analytic scientist tracks feature a candidate-led presentation on a prior modeling project plus graduate-level statistics and fair lending questions; a real publication or conference record (KDD, NeurIPS, Edinburgh Credit Scoring Conference) is a meaningful differentiator.
  • Software Platform roles test modern Java and Spring Boot, Kubernetes and AWS depth, SQL with window functions, and system design scaled to seniority; FICO is actively modernizing its decision-management and fraud products onto cloud-native architecture and hires accordingly.
  • Resume language matters: mirror exact Workday job-posting keywords (Java 17, Spring Boot, AWS, Kubernetes, Python, SAS, XGBoost, SR 11-7, Reg B, KS, Gini, PSI) and name FICO-adjacent platforms (Falcon, Blaze Advisor, Decision Modeler, Optimization) if you have the experience.
  • The Bozeman headquarters is real, not ceremonial, but FICO remains a multi-site, remote-friendly company with active offices in San Jose, Roseville MN, San Diego, San Rafael, Fairfax, Austin, London, Birmingham, Munich, Warsaw, Bangalore, Pune, Singapore, Beijing, and Sao Paulo; confirm remote eligibility and allowed jurisdictions with your recruiter.
  • Be clear-eyed about the political and competitive backdrop in 2026: FICO Score pricing is under Senator Hawley inquiry, the FHFA is discussing a bi-merge mortgage model, and VantageScore is now approved by Fannie Mae and Freddie Mac; interviewers respect candidates who can discuss this honestly rather than pretending it is not happening.
  • Candidates who offer Scores receive, or who lose offers in final rounds, most often end up at Experian, Equifax, TransUnion, VantageScore, SAS, ACI Worldwide, or NICE Actimize; the reverse flow is also real, and interviewers are comfortable discussing the competitive landscape if you bring it up respectfully.

About Fair Isaac

Fair Isaac Corporation, universally known by its ticker and brand FICO, is a roughly 3,500-person American analytics software company traded on the New York Stock Exchange under the symbol FICO. Founded in 1956 by engineer William R. Fair and mathematician Earl J. Isaac at Stanford Research Institute, the company pioneered the use of mathematical algorithms in consumer credit decisioning and has, over nearly seven decades, become synonymous with the credit score itself. The FICO Score is used in more than 90 percent of U.S. consumer lending decisions, embedded in mortgage underwriting by Fannie Mae and Freddie Mac, in virtually every credit card issuance and auto loan in the country, and in dozens of international markets where FICO has licensed its analytics. No other small-cap analytics company has a product this deeply woven into the plumbing of American finance, and candidates who apply without appreciating that weight tend to miss what actually matters in interviews. The company's modern identity is split across two reporting segments. The Scores segment monetizes the FICO Score franchise through contracts with the three U.S. credit bureaus (Experian, Equifax, TransUnion) plus direct-to-consumer subscriptions at myFICO.com, and it remains extraordinarily high-margin and cash-generative. The Software segment, marketed primarily as the FICO Platform, sells enterprise decision-management and fraud-prevention products including FICO Falcon (the industry-standard card fraud engine protecting billions of payment cards globally), Decision Modeler, Blaze Advisor (business rules), Optimization, and a growing suite of cloud-hosted SaaS applications. Under CEO Will Lansing, who has led the company since 2012, FICO has reoriented its software business around a unified cloud platform strategy, and FY2025 ended with record revenue and Scores B2B growth of roughly 25 to 42 percent quarter-over-quarter driven largely by mortgage score price increases. Corporate headquarters sits in Bozeman, Montana, a deliberate relocation from San Jose, California that reflects Lansing's stated preference for the Montana State University talent pool, lower cost of living, and a smaller technical-hub culture; the old San Jose campus, the Roseville, Minnesota office, and locations in San Diego, San Rafael, Fairfax, and Austin remain active along with major international hubs in London, Birmingham, Munich, Warsaw, Bangalore, Pune, Singapore, Beijing, and Sao Paulo. Candidates should expect a publicly traded, financially conservative, heavily regulated-by-proxy environment: FICO is not itself a bank, but its products sit inside banks' model risk management, fair lending, and audit processes, which means the engineering culture prizes rigor, documented methodology, and defensible science far more than speed for its own sake. It is also worth going in clear-eyed: FICO Score pricing has drawn bipartisan political scrutiny in 2025 and 2026, including a Senator Hawley inquiry and active FHFA discussion of a bi-merge mortgage model that would use only two of three bureau scores, and VantageScore's approval for use by Fannie Mae and Freddie Mac has introduced real pricing pressure on the Scores segment for the first time in the company's history.

Application Process

  1. 1
    Apply through the official FICO careers site at fico

    Apply through the official FICO careers site at fico.com/en/careers, which routes every external requisition to the Workday tenant at fico.wd1.myworkdayjobs.com/External; this is the only authoritative job board, and you should ignore aggregators or recruiters reposting FICO roles without explicit authorization.

  2. 2
    Create a Workday candidate profile, upload a current resume, and complete the st

    Create a Workday candidate profile, upload a current resume, and complete the structured application with work authorization status, visa sponsorship needs, location preferences, compensation expectations, and EEO disclosures; one profile covers all FICO requisitions globally across Scores, Software, Analytics, Professional Services, Cloud Operations, and corporate functions.

  3. 3
    After submission you receive an automated Workday confirmation; a FICO recruiter

    After submission you receive an automated Workday confirmation; a FICO recruiter typically reviews qualified applications within one to three weeks and, if you advance, schedules a 30 to 45 minute phone or Microsoft Teams pre-screen covering your background, motivation for FICO specifically, location and remote eligibility, compensation expectations, and a light technical or domain probe keyed to the role.

  4. 4
    Most engineering, data science, and analytic science roles include an online ass

    Most engineering, data science, and analytic science roles include an online assessment: a HackerRank or Codility coding test (typically two problems, DSA and SQL), a timed machine learning or statistics questionnaire for analytic scientist tracks, or a Java/Python take-home depending on the team; Glassdoor data shows this round is mandatory for the overwhelming majority of technical tracks.

  5. 5
    Technical panel interviews follow, typically one to three rounds over Microsoft

    Technical panel interviews follow, typically one to three rounds over Microsoft Teams with two or three engineers or scientists per panel, covering data structures and algorithms at a moderate level, SQL (often deeper than candidates expect, with window functions and query plan reasoning), system design scaled to your seniority, and for analytic science roles a methodology discussion on supervised learning, model validation, feature engineering, and fair lending considerations specific to credit scoring.

  6. 6
    A hiring manager interview and, for senior or principal levels, a skip-level dir

    A hiring manager interview and, for senior or principal levels, a skip-level director or VP round follow; analytic science roles almost always include a candidate presentation on a prior modeling project where the panel probes your understanding of the math, the data, the business context, and the model governance trade-offs you made.

  7. 7
    Successful candidates receive a verbal offer from the recruiter followed by a wr

    Successful candidates receive a verbal offer from the recruiter followed by a written contingent offer in Workday; pre-employment screening includes a background check, education and employment verification, and for roles with access to credit bureau data or regulated client systems, additional clearance under Fair Credit Reporting Act procedures and bureau-specific data-access attestations.

Resume Tips for Fair Isaac

recommended

Lead with analytics and decision-science language calibrated to FICO's actual bu

Lead with analytics and decision-science language calibrated to FICO's actual business: name the techniques (logistic regression, gradient boosting, neural networks, survival analysis, time-to-event modeling, scorecard development, reject inference), the validation frameworks (KS, Gini, AUC, PSI, lift, KL divergence, out-of-time testing), and the governance standards (SR 11-7, OCC 2011-12, fair lending, disparate impact testing, Reg B) rather than generic 'machine learning' phrasing.

recommended

If you have any consumer credit, payments, fraud, or lending experience, put it

If you have any consumer credit, payments, fraud, or lending experience, put it first and name the products: FICO Score, VantageScore, credit bureau attributes (Experian, Equifax, TransUnion), FICO Falcon, SAS Fraud Management, ACI Proactive Risk Manager, NICE Actimize, card authorization streams, ACH, Zelle, FedNow; recruiters and hiring managers screen specifically for this vocabulary because it shortens ramp time dramatically.

recommended

Mirror exact keywords from the Workday job posting into your resume because the

Mirror exact keywords from the Workday job posting into your resume because the FICO Workday tenant ranks resumes on phrase matching; for engineering roles that means Java 17, Spring Boot, Kubernetes, AWS, Angular, microservices, Kafka, and IAM security language, and for science roles that means Python, R, SAS, SQL, PySpark, Scikit-learn, XGBoost, TensorFlow, and model monitoring.

recommended

Quantify in the language of regulated analytics: dollar volume of credit decisio

Quantify in the language of regulated analytics: dollar volume of credit decisioned, number of accounts scored, fraud dollars prevented, model KS or Gini lift over incumbents, production model uptime, validation cycle time, MRM audit findings closed, and business ROI tied to specific client engagements rather than vanity metrics.

recommended

Show model-governance maturity

Show model-governance maturity. Candidates who can describe how they documented a model for a Model Risk Management committee, defended it in an OCC or European regulator exam, or built ongoing monitoring dashboards with performance-decay alerts consistently outperform candidates who list techniques without the governance wrapper; FICO builds for regulated clients and interviewers probe for this.

recommended

For software engineering candidates, highlight any cloud-native platform work (A

For software engineering candidates, highlight any cloud-native platform work (AWS, Kubernetes, Docker, microservices, Istio, Kafka, gRPC), Java/Spring Boot depth, and any experience with business rules engines (Drools, Blaze Advisor, Camunda) or decision-management platforms; FICO is actively modernizing the FICO Platform onto AWS and is hiring accordingly.

recommended

Use a clean, single-column, ATS-friendly format with standard section headings (

Use a clean, single-column, ATS-friendly format with standard section headings (Summary, Skills, Experience, Education, Publications, Certifications) in .docx or PDF under 2 MB; avoid text boxes, graphics, headers, and footers that Workday parses poorly into structured fields.

recommended

For analytic scientist candidates, list any peer-reviewed publications, conferen

For analytic scientist candidates, list any peer-reviewed publications, conference talks (KDD, NeurIPS, ICML, Credit Scoring Conference in Edinburgh), and doctoral work with an advisor; FICO's Analytic Science organization is academically oriented and a real publication record is a meaningful differentiator that frequently outweighs years of experience.

ATS System: Workday

FICO uses Workday Recruiting as its global applicant tracking system, hosted at fico.wd1.myworkdayjobs.com/External and accessed through the official careers site at fico.com/en/careers. All external requisitions across Scores, Software Platform, Analytic Science, Professional Services, Cloud Operations, Sales, and corporate functions flow through a single Workday tenant, so one candidate profile covers the entire company globally. Workday parses resumes into structured fields and ranks candidates on phrase matching against the job description, which means resumes that mirror exact platform names, certifications, regulations, and tech stack terms from the posting consistently advance further in the funnel than resumes written in generic language.

  • Apply directly at fico.com/en/careers, which redirects to fico.wd1.myworkdayjobs.com/External; avoid third-party reposters and prefer the direct Workday flow over LinkedIn Easy Apply when both are available.
  • Mirror exact keywords from the job posting (Java 17, Spring Boot, Kubernetes, AWS, Angular, Python, R, SAS, PySpark, XGBoost, Scikit-learn, SR 11-7, Reg B, KS, Gini, PSI, Falcon, Blaze Advisor, Decision Modeler) into your resume so Workday's keyword ranker surfaces you to the FICO recruiter.
  • Use a clean single-column resume in .docx or PDF under 2 MB with standard headings (Summary, Skills, Experience, Education, Publications, Certifications); avoid text boxes, tables, headers, and footers that Workday parses poorly into structured fields.
  • Complete every Workday application field, including work authorization, sponsorship needs, location preferences, and EEO disclosures; partial applications are deprioritized in recruiter queues.
  • Maintain one accurate Workday candidate profile and use it for every application and internal move; FICO recruiters and internal mobility teams search the same database when filling requisitions across Scores, Software, and corporate functions.

Complete Workday Resume Guide →

Interview Culture

FICO interviews feel like the company: quantitative, methodical, mathematically serious, and unmistakably the product of a firm that has spent seventy years defending models to regulators, auditors, and the largest banks in the world. The pace is steady rather than urgent, with end-to-end timelines averaging roughly four weeks for individual contributor roles per Glassdoor data, shorter for analytic scientist tracks where internal demand is high and longer for senior Software Platform roles that require additional architect review. Recruiters use Workday and Microsoft Teams for scheduling, communicate consistently, and tend to remain the candidate's single point of contact across the full funnel, which materially reduces the friction typical of a 3,500-person public company with global hubs. Candidates consistently report that FICO recruiters respect the candidate's time, provide structured prep materials, and follow up on outcomes, which is not universal in the industry and is worth mentioning as a differentiator. Technically, the bar is calibrated to the specific product line. For Scores and Analytic Science roles, the bar is genuinely academic: expect probability theory questions at the level of a graduate qualifying exam, detailed methodology discussions on supervised learning and model validation, fair lending awareness (disparate impact, ECOA, Reg B), reject inference techniques, time-to-event and survival modeling, and an in-depth presentation on a prior project where panelists probe the math, the data lineage, the governance wrapper, and the business outcome. For Software Platform engineering roles the bar is closer to a modern enterprise Java shop: two LeetCode-medium problems on the coding assessment, a technical panel covering data structures, OOP, SQL with window functions, Spring Boot internals, Kubernetes and AWS service depth, and a system design round appropriate to the level. Cloud Operations, Platform Reliability, and Solution Architecture roles probe production discipline on cloud-hosted, multi-tenant SaaS: how you reason about tenancy isolation, model-serving latency under card-authorization SLAs measured in milliseconds, disaster recovery, and SOC 2 controls. Behavioral interviews anchor to the FICO values of customer focus, integrity, innovation, and inclusion, with particular weight on integrity given the regulatory and political environment around credit scoring. STAR-format answers are expected, and the strongest stories involve a model, platform, or client decision where you had to balance speed, scientific defensibility, and a regulator or auditor's expectations. Senior interviews probe judgment under regulatory pressure: how you would respond to a large bank client claiming a FICO model is producing disparate impact, how you would communicate a model-decay finding to a risk committee, how you would defend methodology in front of the CFPB or an OCC examiner by proxy. Candidates who downplay governance or treat compliance as overhead consistently stall; candidates who treat regulated analytics as a craft and can speak about it with conviction tend to advance. The Bozeman move has real cultural implications that are honest to name. FICO is a headquarters-in-Bozeman, offices-everywhere, remote-friendly company that nonetheless retains a more formal, financially conservative, Midwestern-and-Mountain-West culture than a Bay Area analytics startup; the company is not a trend-chaser, and interviewers tend to respond poorly to candidates who pitch consumer-internet shortcuts into regulated analytics conversations. At the same time, Bozeman itself is a small city of roughly 55,000 people, and candidates considering a relocation should be realistic about cost of living (which has risen significantly in the last five years), winter weather, and the size of the local social and dating market; FICO does not pretend the Bozeman office is a Bay Area substitute, and neither should you in an interview. Remote eligibility is genuinely offered for many roles, particularly in analytic science and cloud engineering, but allowed states and countries vary by role for tax, licensure, and data residency reasons, and hiring managers will confirm the specifics during the process.

What Fair Isaac Looks For

  • Genuine intellectual interest in consumer credit, fraud, and decision analytics rather than treating FICO as a generic tech employer; candidates who can explain why the FICO Score matters in U.S. lending and where the science can be pushed forward resonate strongly with hiring managers, while candidates who treat the interview as a stop on a cross-industry tour struggle.
  • Quantitative depth appropriate to the role: for analytic scientists, graduate-level statistics, strong probability, real fluency with supervised learning and model validation, and awareness of fair lending frameworks; for engineers, modern Java/Spring Boot, cloud-native AWS and Kubernetes, and the discipline to build multi-tenant SaaS to enterprise SLAs.
  • Comfort operating in a regulated-by-proxy environment where the customer's regulator is effectively your regulator; FICO software sits inside OCC, Federal Reserve, FDIC, CFPB, European, and APAC supervisory frameworks, and interviewers favor candidates who treat documentation, model governance, and audit trail as craft rather than overhead.
  • Client orientation; FICO is fundamentally a B2B enterprise-software company selling to the largest banks, card issuers, insurers, and governments in the world, so evidence that you can engage thoughtfully with a CRO, Chief Data Officer, or Head of Model Risk Management at a top-20 bank is consistently more valued than pure individual technical brilliance.
  • Fluency in at least one of FICO's core technology stacks: Python, R, SAS, SQL, PySpark, and Scikit-learn/XGBoost for analytics; Java, Spring Boot, Angular, Kubernetes, and AWS for software platform; C/C++ and real-time streaming for Falcon and high-throughput fraud engines; Blaze Advisor or similar business rules engines for decision management specialists.
  • Stability and longevity; FICO is not a high-turnover company and interviewers consistently favor candidates whose resumes show multi-year ownership of platforms, models, or client engagements rather than annual hops, because Scores and Falcon are decade-scale products that benefit from institutional memory.
  • A service mindset and professional demeanor; FICO skews more buttoned-up than the average Bay Area analytics shop, and candidates who project generosity to colleagues, humility about what they do not yet know, and respect for the regulated nature of the work tend to leave a strong impression on panels.
  • Alignment with the publicly stated FICO values of customer focus, integrity, innovation, and inclusion, plus the unstated but clearly present values of scientific rigor and defensibility; behavioral questions probe this directly and candidates benefit from naming these values explicitly rather than dancing around them.

Frequently Asked Questions

Where is FICO headquartered in 2026 and does the Bozeman move really change the day-to-day?
FICO is officially headquartered at 5 West Mendenhall in Bozeman, Montana, a real move from the prior San Jose, California headquarters that CEO Will Lansing has tied to the Montana State University talent pool and the broader Mountain West technical hub. The change is substantive for corporate functions and a growing portion of engineering leadership, and FICO continues to expand in Bozeman with additional downtown space announced in 2025. That said, FICO is a multi-site, remote-friendly company; San Jose, Roseville MN, San Diego, San Rafael, Fairfax VA, Austin, and large international hubs remain active, so most candidates will not need to relocate to Bozeman and should confirm work location with the recruiter during the screen.
What does compensation look like at FICO compared to Bay Area or credit bureau competitors?
FICO pays competitively for a 3,500-person public company but is generally below FAANG and top-tier fintech on base salary, with the gap partially closed through equity grants at senior individual contributor and people-leader levels, annual bonus, an employee stock purchase plan, and a relatively generous benefits package. Total compensation is typically higher than Experian, Equifax, or TransUnion for equivalent analytic roles and broadly comparable to SAS, ACI Worldwide, and NICE Actimize on the software platform side. Published ranges in Workday reflect real bands; negotiate on the total package (base, bonus target, RSUs, sign-on, relocation) rather than base alone, and ask the recruiter directly about the stock grant schedule for senior roles.
Do I have to live in Bozeman, Montana to work at FICO?
No. FICO offers genuine remote and hybrid eligibility for many engineering, analytic science, product, professional services, sales, and corporate roles, and the company's Workday postings routinely list multiple U.S. locations or remote-with-travel. Eligibility does vary by role and jurisdiction for tax, licensure, and data residency reasons, and some positions require periodic travel to Bozeman, San Jose, Roseville MN, or a major client hub. For candidates specifically considering Bozeman as a relocation, be realistic: it is a roughly 55,000-person college town with rising cost of living, real winters, and a smaller social market than the Bay Area or Minneapolis, and FICO itself does not oversell it as a Bay Area substitute.
What is the difference between working on FICO Scores versus FICO Software, and which pays better?
The Scores segment is the classic FICO Score franchise, the highest-margin and most politically sensitive part of the business, and it employs a comparatively small, deeply specialized Analytic Science organization that builds, validates, and monitors the scorecard itself plus product teams that manage bureau partnerships, myFICO consumer, and international score licensing. The Software segment is the larger employer by headcount and houses the FICO Platform, Falcon fraud engine, Blaze Advisor business rules, Optimization, and Professional Services; it is a more traditional enterprise-software career with larger engineering teams and more product-management roles. Total compensation is broadly comparable at equivalent levels, but Scores roles frequently carry higher prestige and tighter headcount while Software offers more promotion velocity and platform-modernization work.
Why do candidates turn down FICO offers in favor of Visa, Experian, Equifax, or TransUnion?
The most common reasons are total-compensation gap (Visa is typically the highest payer in this comparison set, with the credit bureaus close), perceived career optionality at a larger employer, uncertainty about the FICO Score's long-term pricing power given 2026 political scrutiny, and in some cases candidates prefer a bureau seat because bureaus sit upstream of the scores in the data supply chain. FICO counterweights are real: genuine scientific depth in analytic science, Falcon's unique position in card fraud, a lower-drama regulatory posture than the bureaus themselves, and a smaller, more focused company where individual contributions are more visible. Candidates who value being the person building the decisioning, not just consuming it, tend to pick FICO; candidates optimizing for maximum short-term cash often pick Visa or a bureau.
How politically exposed is FICO right now and should that affect whether I join?
FICO Score pricing is genuinely under political pressure in 2026: Senator Josh Hawley opened an inquiry into FICO's mortgage score pricing practices and has urged the FTC to investigate, the FHFA is actively considering a bi-merge mortgage model that would require only two of three bureau scores rather than all three, and VantageScore has been approved for use by Fannie Mae and Freddie Mac with aggressive bureau-driven discount pricing. This is the first time in the company's history that the Scores monopoly has faced a credible structural challenge. It does not mean FICO is a bad place to work; FY2025 was a record year by revenue, Falcon and the FICO Platform are independent of Scores pricing, and analytic science depth remains a genuine competitive moat. It does mean candidates should ask interviewers directly about strategy and should not bet their career on Scores pricing power alone.
What interview questions does FICO actually ask for Analytic Scientist and Software Engineer roles?
For Analytic Scientist, expect graduate-level probability and statistics, supervised learning methodology (logistic regression, gradient boosting, neural networks), model validation (KS, Gini, AUC, PSI, out-of-time testing), fair lending and disparate impact, and a candidate-led presentation on a prior modeling project where panelists probe the math, data lineage, governance, and business outcome. For Software Engineer, expect a HackerRank or Codility online assessment with roughly two LeetCode-medium problems, a technical panel with data structures and algorithms, SQL including window functions, system design scaled to level, and depth in Java and Spring Boot plus cloud (AWS, Kubernetes). Both tracks include a hiring manager round and a behavioral conversation anchored to FICO values.
Does FICO sponsor work visas and hire new graduates or PhDs?
Yes on both. FICO regularly sponsors H-1B and green card applications, particularly for analytic scientist and software platform engineering roles where the specialized skill set is clearly documented; workday postings indicate sponsorship availability and the recruiter confirms in the screen. The company actively hires at the PhD level into Analytic Science (statistics, econometrics, computer science, operations research) and runs structured early-career programs including campus recruiting at Montana State, Minnesota, Stanford, Carnegie Mellon, Georgia Tech, and Indian IITs among others. New graduates and PhDs should foreground coursework or thesis work in supervised learning, survival analysis, fraud detection, optimization, or time-series modeling, and any internship at a bank, bureau, card network, or fintech is a strong signal.
What is FICO's ATS and how should I apply to maximize my chances?
FICO uses Workday Recruiting at fico.wd1.myworkdayjobs.com/External, accessed through the official careers site at fico.com/en/careers. Create one Workday candidate profile, keep it current, and use it for every application because FICO recruiters and internal mobility teams search the same database. Avoid third-party reposters and LinkedIn Easy Apply for FICO roles when the direct Workday option is available, since direct applications reach the assigned recruiter faster and your profile is indexed correctly for future requisitions. Mirror exact job-posting keywords in your resume (Java 17, Spring Boot, Kubernetes, AWS, Python, R, SAS, XGBoost, SR 11-7, Falcon, Blaze Advisor as applicable) because Workday ranks on phrase matching.
What benefits does FICO offer employees?
FICO offers a comprehensive benefits package that typically includes medical, dental, and vision coverage with multiple plan options, a 401(k) plan with employer match, an employee stock purchase plan, paid time off, paid parental leave, short- and long-term disability, life and AD&D insurance, mental health and EAP resources, tuition reimbursement, and professional development support including conference budgets for analytic scientists. Most roles also include a performance-based annual bonus, and senior individual contributors and people leaders receive equity grants on a standard four-year vesting schedule. Specific package details vary by country, level, and role; the recruiter provides a full benefits summary at the offer stage and is usually willing to discuss equity refresh cadence and bonus targets openly if you ask directly.

Open Positions

Fair Isaac currently has 33 open positions.

Check Your Resume Before Applying → View 33 open positions at Fair Isaac

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