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Data Analyst

Oneture Technologies

  • Location: Mumbai, Maharashtra

  • Category: Information Technology and Software

  • Job Type: Full Time

  • Salary:0.0000- 0.0000

<span data-sheets-root="1" style="color: rgb(0, 0, 0); font-size: 10pt; font-family: Arial;">Model Development:<br/><br/>Design, build, and deploy credit risk models using techniques such as Regression, XGBoost, ANN, and other relevant machine learning algorithms tailored to lending and financial services.<br/>Develop fraud detection models using graph databases (e.g., Neo4j) to detect fraudulent patterns and mitigate risks within lending processes.<br/>Implement recommendation systems to provide personalized financial product recommendations using algorithms like Collaborative Filtering, Content-based Filtering, and leveraging Amazon Personalize for enhanced user experience.<br/><br/><br/>Data Pipeline &amp; Feature Engineering:<br/><br/>Develop robust data pipelines and feature stores to support credit, fraud detection, and recommendation models within the lending domain.<br/>Ensure high-quality data for model training and validation, with experience in SQL for building efficient data structures and pipelines.<br/>Optimize data storage and querying using Amazon Redshift to handle large-scale datasets and accelerate model development.<br/>Fraud Detection &amp; Graph Databases:<br/>Design and implement fraud detection systems specifically for the lending industry, utilizing graph databases (e.g., Neo4j) to model complex relationships, identify suspicious patterns, and prevent financial fraud.<br/>Implement anomaly detection and pattern recognition algorithms to improve fraud detection accuracy.<br/><br/><br/>Tooling &amp; Technologies:<br/><br/>Utilize Python for data analysis, model development, and automating machine learning workflows.<br/>Leverage Amazon SageMaker for end-to-end model development, deployment, and management.<br/>Implement machine learning workflows using AWS tools such as Lambda, S3, and SageMaker to manage and process large datasets in real-time.</span> <span data-sheets-root="1" style="color: rgb(0, 0, 0); font-size: 10pt; font-family: Arial;">We are seeking an experienced Senior Data Scientist with a strong background in building credit models, fraud detection algorithms, and recommendation engines within the lending industry. The ideal candidate will have hands-on experience in developing scalable machine learning solutions using advanced algorithms such as Regression, XGBoost, ANN (Artificial Neural Networks), and Graph Databases (e.g., Neo4j). Knowledge of industry-specific challenges and practices, particularly in credit risk modeling and fraud detection for lending, will be crucial. The candidate should also be proficient in utilizing Amazon SageMaker for model deployment and have experience with Amazon Redshift for data warehousing. Experience with Amazon Personalize for recommendations is a plus. This role requires both technical expertise and leadership abilities to manage a team of data scientists and work closely with stakeholders to deliver business-driven machine learning solutions.</span>

Data Analyst

Job Description


Job Responsibility


Benefits & Perks

Job Summary:

  • Openings: 1

  • Applicants: 1

  • Job Posted:12-03-2025 08:26:49 (46 days ago)

  • Expiration: 09-05-2025 00:00:00.

  • Experiences: 4-6 Years.

  • Education: .

  • Skill: "Strong proficiency in Python for machine learning model development, data analysis, and statistical analysis. Extensive experience with SQL for building and optimizing data pipelines and feature stores. Proven experience in developing credit risk models, fraud detection models, and recommendation systems within the lending or financial services industry. Hands-on experience with graph databases (e.g., Neo4j) for fraud detection and relationship-based data modeling. Experience with Amazon SageMaker for deploying machine learning models in a scalable, production-ready environment. Familiarity with Amazon Redshift or other data warehousing solutions for high-performance data processing. Exposure to Amazon Personalize or similar recommendation engine tools is a plus."

Posted by: Oneture Technologies
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