Analytic Consultant

FICO; United States; Teletrabalho; USD 120 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Inclusive culture

Competitive compensation

Work-life balance

Professional development

Resumo da oferta

FICO is seeking a data science professional to design, develop, and deploy state-of-the-art predictive models for international scores projects. You will work with large-scale consumer credit data and advanced analytics to drive real‑world impact across regions.

You will collaborate with global teams, present results to clients, and manage analytical workstreams across multiple projects while adapting to time zones. Strong programming skills and cloud exposure are a plus.

Qualificações

• Master’s degree in Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, Cognitive Science or a related quantitative discipline.
• Experience in financial services, fintech, insurance, consumer lending, or credit bureau environments preferred.
• Strong programming and data analysis skills with Python, R, C++, Java, MATLAB or similar for large datasets.
• Ability to analyze complex datasets, identify data issues, root causes, and practical solutions.
• Open and effective communicator, capable of working with stakeholders at different levels.

Responsabilidades

• Contribute to international FICO Scores projects through data analysis, model development, validation, and delivery activities.
• Design, develop, and evaluate data-driven exploratory analyses, predictive models, and decision models for financial services problems.
• Analyze large-scale consumer credit datasets to assess modeling suitability and develop variables for scoring solutions.
• Apply statistical modeling, machine learning, and pattern recognition to improve model performance.
• Communicate modeling results, insights, and recommendations to internal stakeholders and clients.

Conhecimentos

Python

R

C++

Java

MATLAB

Formação académica

Master’s degree in a quantitative field (Math, Stats, OR, CS)

Ferramentas

AWS

Azure

GCP

Descrição da oferta de emprego

FICO (NYSE: FICO)is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity

As part of a team, you will participate in designing, developing, and deploying state-of-the-art, data-driven predictive models to solve business problems using the latest technologies in data mining, statistical modeling, pattern recognition, and performance inference. This is a unique opportunity to contribute to FICO Scores International, where you will learn and apply flagship FICO® Score expertise to global markets, collaborate with clients across regions, explore diverse data sources, work with large-scale datasets, and build models that drive real-world impact.

What You Will Do

• Contribute to international FICO Scores projects through client data analysis, model development, model validation, and delivery activities.
• Design, develop, and evaluate state-of-the-art, data-driven exploratory analyses, predictive models, and decision models to solve business problems across the financial services industry.
• Analyze large-scale consumer credit and credit bureau datasets to assess modeling suitability, identify data patterns, develop variables, and support scoring solutions.
• Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance.
• Anticipate, investigate, and resolve data, modeling, and analytical issues by identifying root causes and recommending practical solutions.
• Create, review, and deliver formal presentations of analytical work, clearly communicating modeling results, key insights, and recommendations to internal stakeholders and clients.
• Manage assigned analytical work streams across simultaneous projects, adjusting to changing priorities while consistently delivering high-quality work against client and internal deadlines.
• Communicate effectively with project teams and client stakeholders, including sharing progress, raising questions or risks early, and participating in meetings across international time zones.
• Travel may be required occasionally for client meetings or project needs, including domestic or international engagements.

What We Are Seeking

• Master’s degree in Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, Cognitive Science, or a related quantitative, technical, or natural science discipline.
• 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 similaris a plus.

Our Offer to You

• An inclusive culture strongly reflecting 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.

#LI-DL1 #LI-Remote

Why Make a Move to FICO?

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!

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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