AVP/VP DS

1 month ago

bangalore, India Credit Saison India Full time
About Credit Saison:
Neo-Lending Conglomerate here to enable India's credit growth story, Credit Saison India, emboldened by our Global MNC parent, is here to accelerate India's credit growth story: by building a Technology-Led Neo-Lending Conglomerate. Across our verticals, we offer bespoke solutions to meet the various
credit needs of Individuals, SMEs, FinTechs, and NBFCs. Credit Saison India (“CS India”), having been founded in 2018, operates under the registered name Kisetsu Saison Finance India Private Limited as an MNC subsidiary of its parent company – Credit SaisonCo. Ltd in Japan. Across our various business verticals like Wholesale Financing, Co-origination Financing, Consumer Financing, and SME Financing we look towards reaching resilient Assets Under Management (“AUM”) of US1bn in record time.
More about us on & 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 advance 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 5 - 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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