AVP/VP - Data Science & Analytics - Digital Lending
2 weeks ago
My Client is a pioneer in the ecosystem-based digital lending for small businesses in India.
Location : Bangalore
Roles & Responsibilities:
- Leading a team of data scientists and machine learning engineers to develop, implement, and test scalable solutions for the fintech/lending domain.
- Mentor peers and junior members and handle multiple projects at the same time.
- Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up-to-date with and extending the state-of-the-art in data science research.
- Collaborate with business stakeholders to identify and solve business problems using AL/ML/Data Analytics with clearly defined metrics to measure success.
- Design, develop and implement real-time, highly complex advanced machine learning models to solve credit business problems (demand generation, marketing, fraud, credit, account management and collections)
- Own research and prototyping of solutions; data and requirements gathering; solution scoping and architecture; development, deployment, and maintenance of solutions.
- Provide timelines and own end to end delivery of projects.
- Analyse data to identify trends, perform root cause analysis and test hypotheses.
- Communicate complex concepts and the results of the models and analyses to technical and non-technical audience
- Prioritize to manage ad-hoc requests in parallel with ongoing projects.
- The role is 50% technical (involves coding and implementation of solutions and models) and 50% delivery management of projects including external stakeholder management.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
Required skills & Qualifications:
- A highly talented technical leader with 10+ years of hands-on experience in building AI/ML and data analytics applications from exploration to production
- 2+ years of experience in a responsible senior or team lead role managing a team of data scientists and engineers who develop, deploy, and maintain robust machine learning models
- Experience in leading cross-functional, highly complex Data Science projects
- Strong knowledge of Python, databases (SQL and NoSQL) , advanced analytics/statistical techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian, tree-based learners, SVM, RF, XGBOOST, etc. Hands-on coding experience will be required to code regularly.
- Experience building scalable solutions, feedback loops for model evolution, and end to end automation of model generation and deployment
- Basic knowledge of software architecture design, docker, microservices, cloud computing and AWS services
- 3+ years of relevant experience within credit, risk, collections management, ideally at a high-growth technology and/or financial services company.(Application Scorecard, Behaviour Scorecard, Collection Score Card, Loan Pricing, Loss Forecasting, Cross-Sell Model)
- Analytically oriented with the ability to grasp complex risk management strategies, processes, models and draw insights / identify areas of opportunity
- Strong communication skills - ability to clearly and succinctly communicate technical subject matter to other team members and Senior Management team
- Strong interpersonal skills - collaborate with people across functions and develop a strong relationship
- B.Tech/M.Tech/MCA (IT/Computer Science) from top tier universities.
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