• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Sep 2022

PURPOSE OF THE ROLE

Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics

KEY RESPONSIBILITIES

Organize and analyze large, diverse data sets across multiple platforms

Identify key insights and leverage them to inform and influence product strategy

Technical Interactions with vendor or partners in technical capacity for scope/approach & deliverables.

Develops proof of concept to prove or disprove validity of concept.

Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficient reporting on those requirements

Designing and implementing advanced statistical testing for customized problem solving

Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations

ACADEMIC QUALIFICATION AND EXPERIENCE

MTech / BE / BTech / MSc in CS or Statistics or Maths, Operation Research, Statistics, Econometrics or in any quantitative field

Experience in using Python, R, SAS

Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.)

Keen aptitude for large-scale data analysis with a passion for identifying key insights from data

Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc

SKILLSET REQUIRED

Experience in Unsecured Loans & SME Loans analytics (cards, installment loans) - risk based pricing analytics

Experience in Digital product companies or Digital eCommerce with Product mindset and experience

Experience in Fraud / Risk from Banks, NBFC / Fintech / Credit Bureau

Experience in retail MSME Loans lending companies

Experience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology Skills:- Data Science, R Programming, Python, Machine Learning (ML), Hadoop, SQL server, Linear regression and Predictive modelling

CORE COMPETENCIES

Team player. High level of visualization and problem solving capabilities. Self motivating, result oriented, ability to run multiple projects with strict timelines, strong work ethics