PowerCred
Website:
powercred.io
Job details:
About PowerCred
Join PowerCred to redefine lending through cutting-edge data and technology—where your work directly accelerates financial access and inclusion in Southeast Asia. Be part of a team that innovates at lightning speed, collaborates with industry leaders, and delivers impactful solutions with integrity.
PowerCred is at the forefront of revolutionizing lending operations with advanced data solutions. We provide lenders with robust tools for identity verification, credit assessment, and fraud prevention, seamlessly integrating validated structured data for precise analysis and decision-making.
Role Overview
We are looking for a Data Scientist who can build scalable models, derive actionable insights from financial and behavioral data, and contribute to our evolving risk and decisioning engine. You will work across data extraction, cleaning, feature engineering, model development, and evaluation—specifically within lending, OCR-derived data, transaction data, and SME financial behavior. You will collaborate closely with product, engineering, and customer teams to turn data into measurable product value.
What You’ll Do
Build and refine risk, scoring, and predictive models using financial, transactional, and alternative data
Design and run experiments, model evaluations, and A/B validations
Work with OCR-extracted datasets to improve accuracy, classification, entity recognition, and enrichment
Develop feature engineering pipelines that scale across markets and customer profiles
Partner with engineering to deploy models into production (MLOps awareness)
Analyze lender behavior, SME patterns, fraud signals, and decision outcomes
Present insights to stakeholders in a clear, business-aligned narrative
Help shape data strategy, data quality standards, and taxonomy frameworks
What We’re Looking For
Required
4+ years of experience in Data Science / Applied Machine Learning
Strong Python skills (NumPy, pandas, scikit-learn, etc.)
Experience with model development (classification, regression, clustering, forecasting)
Solid understanding of statistics, probability, and experiment design
Experience working with structured and semi-structured datasets
Experience with SQL and database querying
Ability to translate data findings into product and business outcomes
Experience in a fast-paced, iterative tech environment
Nice to Have
Experience in fintech, lending, credit risk, fraud detection, or scoring models
Exposure to OCR output normalization / document data extraction
MLOps experience (Docker, model deployment pipelines, monitoring)
Familiarity with NLP, entity extraction, or document intelligence
Experience with BI tools (Looker, Metabase, Tableau, PowerBI)
Understanding of regulatory and compliance considerations around data
Why Join Us?
- Be part of a fast-growing fintech shaping financial access across Southeast Asia.
- Collaborative, mission-driven culture with high ownership.
- Shape the Future: Have a direct hand in building a groundbreaking company and transforming the lending industry.
- Grow with Us: Join a fast-growing company with ample opportunities for rapid career advancement.
- Make an Impact: Contribute to meaningful work where you'll see the direct impact of your efforts on our clients and their customers.
If you're a candidate with a passion for fintech innovation and a desire to make a significant impact, we'd love to hear from you.
Click on Apply to know more.