Why Should You be a FinBoxer:

<ul>
<li>Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech.</li>
</ul>

<ul>
<li>Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike.</li>
</ul>

<ul>
<li>Growth Opportunities: We are a Series B funded startup and have ample opportunities for growth, professional development and career advancement.</li>
</ul>

<ul>
<li>Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another.</li>
</ul>

<h3>Who’s a Great FinBoxer:</h3>

<ul>
<li>At FinBox, we’re on the lookout for exceptional folks who are all about innovation and impact. If you’re excited to shake things up in the banking &amp; financial services world, keep reading!</li>
</ul>

<ul>
<li>Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, you’re our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table.</li>
</ul>

<ul>
<li>Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy.</li>
</ul>

<ul>
<li>Team Players: We believe in the power of “we.” If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you’ll fit right in.</li>
</ul>

How You'll Contribute:

• Credit Scoring &amp; Risk Models: Build and refine credit scoring models using statistical and machine learning techniques tailored for fintech and NBFC use cases.

• Data Analytics &amp; Insights: Analyze structured and unstructured datasets to uncover patterns, trends, and insights that drive better decision-making.

• Model Development &amp; Testing: Develop predictive models for risk assessment,customer segmentation, and product optimization; perform validation and back-testing to ensure accuracy.

• Experimentation: Support A/B testing and other controlled experiments to measure product impact and improve business strategies.

• Visualization &amp; Reporting: Create dashboards and reports to present model results and business insights to non-technical stakeholders.

• Data Preparation: Collect, clean, and preprocess raw data for modeling and analysis, ensuring high data quality and consistency.

• Collaboration: Work closely with product managers, engineers, and business teams to define problems, develop solutions, and integrate models into business workflows.

• Model Deployment Support: Assist in deploying machine learning models into production environments and monitoring their performance.

<h3>Who You Are:</h3>

• Experience: 2–4 years of experience in Data Science, preferably in the fintech/NBFC/banking domain.

• Credit Scoring Expertise: Hands-on experience in developing and implementing credit risk/credit scoring models.

• Technical Skills: Proficiency in Python, SQL, and Excel for data manipulation, analysis, and modeling.

• Cloud &amp; Tools: Exposure to AWS (or other cloud platforms) and Git for version control.

• Statistical Knowledge: Strong grasp of regression, decision trees, clustering,hypothesis testing, and other ML/statistical techniques.

• Visualization: Ability to present findings using tools like Tableau, Power BI, or visualization libraries (matplotlib, seaborn, plotly).

• Problem-Solver: Strong analytical thinking and ability to translate business requirements into data-driven solutions.

• Communication: Comfortable explaining technical concepts and model outcomes to business and product stakeholders.

Data Scientist in Delhi (UID-13902)

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