Responsibilities: 

<ul>
<li>Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) </li>
</ul>

<ul>
<li>Design and Strategy Development to offer best in class Assets Products to customers. </li>
</ul>

<ul>
<li>Building Prediction Model using big data from digital signals, alternate data and beyond. </li>
</ul>

<ul>
<li>Partnering, exploring and expanding solutions with different data providers and Companies. </li>
</ul>

Skill Sets &amp; key requirements: 

<ul>
<li>Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space </li>
</ul>

<ul>
<li>Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data &amp; in-house banking Data. </li>
</ul>

Python/SQL/Pyspark languages 

<ul>
<li>Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. </li>
</ul>

<ul>
<li>Have worked across end to end in model design, development, validation, documentation &amp; deployment.</li>
</ul>
 
<ul>
<li>Create great data stories with expertise in robust EDA and statistical inference</li>
</ul>

Regional Sales

Responsibilities: Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) Design and Strategy Development to offer best in class Assets Products to customers. Building Prediction Model using big data from digital signals, alternate data and beyond. Partnering, exploring and expanding solutions with different data providers and Companies. Skill Sets &amp; key requirements: Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data &amp; in-house banking Data. Python/SQL/Pyspark languages Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Have worked across end to end in model design, development, validation, documentation &amp; deployment. Create great data stories with expertise in robust EDA and statistical inference

Regional Sales in Mumbai (UID-15406)

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Skills Required for Regional Sales

Job Description for Regional Sales

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