9 дней назад
Analytic Consultant (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytic Consultant (Fintech): Designing, developing, validating, and deploying predictive and decision models for international financial services projects with an accent on credit data analysis, statistical modeling, and large-scale datasets. Focus on identifying data and modeling issues, improving model performance, and communicating analytical recommendations to clients across international time zones.
Location: Birmingham, United Kingdom; remote work indicated by #LI-Remote
Company
is a global analytics software company that develops data-driven solutions for credit scoring, fraud detection, lending, and business decision-making.
What you will do
- Contribute to international Scores projects through client data analysis, model development, validation, and delivery.
- Design, develop, and evaluate exploratory analyses, predictive models, and decision models for financial services use cases.
- Analyze large-scale consumer credit and credit bureau datasets, identify patterns, develop variables, and support scoring solutions.
- Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to improve model performance.
- Investigate data, modeling, and analytical issues, identify root causes, and recommend practical solutions.
- Present analytical results and recommendations to internal stakeholders and clients while managing multiple project workstreams.
Requirements
- Master’s degree in applied mathematics, economics, statistics, operations research, computer science, engineering, physics, cognitive science, or a related quantitative discipline.
- Relevant experience in financial services, fintech, insurance, consumer lending, or credit bureau environments.
- Strong programming and data analysis skills with Python, R, C++, Java, MATLAB, or similar tools.
- Ability to prepare, manipulate, analyze, and model large datasets and resolve complex analytical issues.
- Strong written and verbal communication skills, with the ability to work collaboratively and independently in client-facing environments.
- Willingness to participate in global projects and occasional meetings outside normal business hours for international time-zone coverage.
Nice to have
- Experience with consumer credit risk, fraud risk, credit bureau data, or lending decisioning.
- Exposure to cloud-based analytics platforms such as AWS, Azure, or GCP.
Culture & Benefits
- Inclusive, people-first work environment focused on ownership, customer success, and mutual respect.
- Professional development through learning experiences and opportunities to leverage individual strengths.
- Competitive compensation, benefits, and rewards programs.
- Work-life balance, employee resource groups, and social events.
- Occasional domestic or international travel may be required for client meetings or project needs.
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