Data Analytics Manager (Machine Learning Financing)

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Qualifications

Bachelor’s degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

At least 4 years of hands‑on experience in building, evaluating, and monitoring ML collection risk or consumer credit scoring models for financial products

At least 2 years of leadership experience

Solid understanding of mathematics and statistics

Sound knowledge of machine learning concepts such as Bagging, Boosting, Recommendation Engines, etc. in the financing industry

Expert in feature creation on a variety of data types

Professional experience in building machine learning analytics model development

Understanding of trade‑offs between model performance and business needs

Proven experience formulating data‑science solutions to business problems

Proven ability to communicate with business and understand business needs

Work experience and knowledge of more than one domain is a plus – Risk Analytics, Marketing Analytics, Fraud analytics, etc.

Job Descriptions

Build predictive models for credit risk, collections, fraud, and other business needs in the financial industry

Manage and own the entire end‑to‑end lifecycle of building and validating predictive models along with their deployment and maintenance

Engineer predictive features from existing data to build refined customer profiles and identify external data assets to bring into the model mix

Work backwards to conceptualize and design analytic model frameworks to solve business problems

Strong communication skills to share learnings, lead with the given strategy, and get multiple stakeholders to buy into the vision and execution of the analytics roadmap

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Research, Analyst, and Information Technology

Industries IT Services and IT Consulting

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