Analytic Consultant I

• →Bachelor’s degree in a quantitative or technical field, such as Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, or Cognitive Science (or a related natural science discipline). Master’s degree preferred.
• →Relevant experience in financial services, fintech, insurance, consumer lending, or credit bureau environments; familiarity with consumer credit risk, fraud risk, credit bureau data, or lending decisioning preferred. 
• →Strong programming and data analysis skills using languages or tools such as Python, R, C++, Java, MATLAB, or similar, with the ability to prepare, manipulate, analyze, and model large datasets. 
• →Ability to analyze complex datasets, identify data, processing, or analytical issues, pinpoint root causes, and recommend practical solutions that support reliable modeling outcomes.
• →Self-starter with a curious and analytical mindset, able to take initiative, ask thoughtful questions, learn quickly, and follow through on high-quality deliverables. 
• →Open and effective communicator, comfortable sharing progress, raising questions or risks early, and communicating effectively with stakeholders at different levels. 
• →Ability to work both collaboratively and independently in cross-functional and client-facing environments. 
• →Willingness to work on global projects, including occasional meetings outside normal business hours to accommodate international client time zones. 
• →Exposure to cloud-based analytics platforms such as AWS, Azure, GCP, or similar is a plus.

• An inclusive culture that strongly reflects our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
• The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
• Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
• An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
• The targeted base pay range for this role is: $88,000 to $121,000 with this range reflecting differences in candidate knowledge, skills and experience.

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

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