ADCI HYD 20 SEZ

FinTech

AppliedScientistII,PaymentRiskMachineLearning

₹22–35L ~AI est. Hyderabad, Telangana, India FULL TIME
The Brief

“Applied Scientist II, Payment Risk Machine Learning at ADCI HYD 20 SEZ. Skills: Machine Learning, Risk Management, Fraud Detection, Model Deployment. Own end-to-end development of machine learning models. Analyze large volumes of historical and real-time data”

What You'll Achieve.

Minimize risk; Maximize trust; Improve system effectiveness; Prevent bad debt; Improve operational efficiency; Reduce bad debt; Drive tangible improvements in fraud detection; Drive tangible improvements in fraud prevention

Industry & Context.

FinTech
Problems you'll solve

Modeling complex problems; Discovering insights

What They're Looking For.

Must Have

3+ years building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing

Nice to Have

Experience in professional software development

What You'll Do.

Own end-to-end development of machine learning models

Analyze large volumes of historical and real-time data

Identify fraud patterns and emerging risk trends

and deploy innovative models

Apply GenAI/LLM technologies to automate risk evaluation

Improve operational efficiency

Collaborate closely with software engineering teams

real-time model solutions

Partner with operations and business stakeholders

Translate risk insights into measurable impact

Establish scalable and automated processes for data analysis

Establish scalable and automated processes for model experimentation

Establish scalable and automated processes for model validation

Establish scalable and automated processes for model monitoring

Track model performance

Communicate insights clearly to stakeholders

Research and implement novel machine learning methodologies

Research and implement novel statistical methodologies

How You'll Work.

Team & Collaboration

Cross-functional teams; Business and product leaders

Communication Scope

Communicate insights clearly

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