LenDenClub - Team Lead - Analytics & Data Science
4 weeks ago
Job Role : Team Lead - Analytics & Data Science
About LenDenClub :
LenDenClub is a leading peer-to-peer lending platform that provides an alternate investment opportunity to investors or lenders looking for high returns with creditworthy borrowers looking for short-term personal loans.
With a total of 8 million users and 2 million+ investors on board, LenDenClub has become a go-to platform to earn returns in the range of 10%-12%.
LenDenClub offers investors a convenient medium to browse thousands of borrower profiles to achieve better returns than traditional asset classes. Moreover, LenDenClub is safeguarded by market volatility and inflation.
LenDenClub provides a great way to diversify one's investment portfolio LenDenClub has raised US $10 million in a Series A round from an association of investors. With the new round of funding, LenDenClub was valued at more than US $51 million in the last round and has grown multifold since then.
Why work at LenDenClub :
LenDenClub is a certified great place to work. The certification comes from the Great Place to Work Institute, Inc. a globally renowned firm dedicated to evaluating companies for their employee satisfaction on the grounds of high trust and high-performance culture at workplaces.
As a LenDenite, you will be a part of an enthusiastic and passionate group of individuals who own and love what they do. At LenDenClub we believe in creating leaders and with you coming on board you get to work with complete freedom to chase your ultimate career goal without any inhibitions.
Job Responsibilities :
- Analyze large and complex data sets to extract meaningful insights and trends.
- Develop statistical models and algorithms to identify patterns and correlations in the data.
- Interpret data and provide actionable recommendations to stakeholders.
- Work closely with business leaders to understand their objectives and challenges.
- Develop data-driven strategies to address business problems and optimize processes.
- Collaborate with cross-functional teams to align analytics initiatives with overall business goals.
- Create clear and concise reports, dashboards, and visualizations
- Automate reporting processes to ensure timely and accurate delivery of insights.
- Build predictive models to forecast future trends, customer behavior, and business outcomes.
- Evaluate model performance, make necessary adjustments, and iterate to improve accuracy.
- Implement machine learning techniques to enhance predictive analytics capabilities.
- Ensure data accuracy, consistency, and reliability across different databases and sources.
- Collaborate with IT teams to optimize data storage, retrieval, and processing.
- Stay updated with the latest tools and technologies in the field of data analytics.
- Work closely with marketing, Credit, product development teams to provide analytical support.
- Collaborate with data engineers and IT professionals to streamline data pipelines and integration
- Mentor junior analysts and provide guidance on analytics best practices.
- Proficiency in data analysis tools and languages such as SQL, R, Python, or similar.
- Strong background in statistical analysis, predictive modeling, and machine learning techniques.
- Experience with data visualization tools like Tableau, Power BI, or similar platforms.
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