U GRO Capital - Lead Data Scientist

Qualification B.E/B Tech/ MBA

Experience/ Industry : 6-8 years

Desired Profile / Skills : 

What the role entails - Establish the advantage of using data science in various facets of SME lending, including (but not restricted to) credit scorecards & portfolio monitoring frameworks, business insights, campaign management, propensity and pricing

- Design, develop and implement machine learning applications

- Evangelize the use of alternate data in enhancing risk management and customer experience

- Actively interface with technology to implement and improve business solutions

- Drive external partner engagements (such credit bureaus/ fintech platforms)

Domain knowledge - At least five years of risk analytics experience in banks/ large nbfcs

- Demonstrated track record of having applied data science methods to multiple retail asset products

- Knowledge of SME business would be a big plus

Strengths and Soft skills - Excellent problem-solving skills

- Excellent written and verbal communication/ presentation skills

- Experience of managing direct reports/ project delivery/ creating sales pitches /presenting to prospective clients

- Managing cross functional stakeholders at senior levels

- Experience of having managed projects with external consultants/ credit bureaus/ rating agencies/ other vendors

Technical skills - Statistical methods / machine learning: supervised (e.g. regression, SVM, gradient boosting, random forest, neural networks), unsupervised (e.g. clustering, factor analysis, principal component analysis, k-means), text mining & Web scraping

- Tools - high proficiency in at least one of SAS + Python/R; experienced in at least one BI tool (like SAS VA, Tableau, Power BI); understanding of AWS platform; knowledge of no SQL DB and query language will be a big plus