Senior Data Scientist – Credit Policies

Job not on LinkedIn

🕒 September 28

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 46 days.
• Jobs at this company usually fill in 26 days.
• No salary listed.

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ASAAS

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

ASAAS is a leading producer of 360° virtual tours in virtual reality. The company specializes in creating customized virtual tours, utilizing advanced technologies, including 360° video, drone technology, and interactive features, to enhance business visibility and engagement. With a commitment to quality and customer satisfaction, ASAAS offers immersive experiences for various industries, including schools, hotels, museums, and healthcare facilities, and aims to elevate online presence through innovative virtual solutions.

📋 Description

• Own the end-to-end design, hypothesis testing, simulation, and optimization of business rules and strategies throughout the customer lifecycle • Develop and apply advanced data analysis, optimization, and scenario simulation techniques, including backtesting and stress testing • Measure the financial impact of changes to business rules before deploying them to production • Build, calibrate, and enhance decisioning strategies and rules for credit origination/onboarding, dynamic credit-limit management, pricing, portfolio maintenance, and collections • Use and contribute to policy simulation frameworks, A/B testing and Champion/Challenger methodologies, routine modularization, and analytical structures for presentations • Monitor the performance of decisioning flows and strategies through business and risk metrics, recommending adjustments • Apply decision algorithms, machine learning, and mathematical optimization to develop dynamic, personalized strategies • Incorporate Artificial Intelligence and automation tools into daily workflows • Collaborate with Risk, Fraud Prevention, and Finance teams, translating analyses into actionable technical recommendations

🎯 Requirements

• Solid, proven experience structuring and optimizing credit risk strategies, working hands-on with Data Science in financial institutions, fintechs, credit bureaus, or consulting firms • Advanced proficiency in programming languages for data analysis and Data Science • Proficiency in programming languages and hands-on experience with Big Data environments for extracting, cleaning, and creating analytical variables • Strong practical experience in predictive modeling applied to policy development • Experience designing and evaluating A/B tests • Experience with classification and regression algorithms • Experience with constrained optimization and simulations • Good understanding of Credit P&L, Risk-Adjusted Return, Loss Provision, NPL, LTV, vintages, and roll rates

🏖️ Benefits

• Medical and dental insurance with no co-payment • Life insurance • Prescription medication allowance • Fitness allowance • Four free therapy or nutritionist sessions per month • Quick massage at headquarters • Flexible meal allowance on a Visa card • Free food at headquarters • Childcare allowance • Parental support program • Extended maternity and paternity leave • In-house training platform • Education allowance covering 70% of undergraduate tuition and language courses, as well as the purchase of courses and books • Home office allowance • Work equipment • Furniture allowance • Partnership with WOBA for coworking access throughout Brazil • Birthday month day off • Happy hour allowance • Referral bonus for new hires • Annual goal-based bonus • Stock option plan • No dress code

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