Data Scientist

Indifi Technologies; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A fintech start-up is seeking an analytical professional to apply statistical analysis in various business aspects such as risk and growth. The ideal candidate should have relevant experience in banking or lending, advanced degrees preferred, and fluency in programming languages like R and Python. Responsibilities will include collaborating across teams and working with large datasets to present insights. This role demands a readiness to adapt in a fast-paced environment in a startup culture.

Qualifications

• BA/BS degree in a relevant technical field.
• 1+ years experience in Banking/NBFC domain.
• Preferred advanced degrees.

Responsibilities

• Apply statistical analysis in business risk and fraud.
• Collaborate with multiple teams to develop solutions.
• Work with large data sets and present analytical solutions.

Skills

Statistical analysis

Credit risk modelling

Collaborative problem solving

Experience with large data sets

Fluency with R and Python

Machine learning frameworks

Education

BA/BS in Computer Science, Math, Physics, Engineering, Statistics

Tools

Spark

SQL

MySQL

SAS

Redshift

Postgres

Job description

Ideal candidate must have:

• Advanced understanding of statistical analysis, ability to apply analytics in all aspects of the business risk and fraud, growth, collections etc
• Credit risk modelling for underwriting and portfolio monitoring using traditional and alternate data sources
• Preferred experience in banking, payments, B2B/B2C Lending space (unsecured loans or credit card)
• Experience with large data sets and distributed computing (Redshift/Postgres/Spark) a plus
• Experience with building insights using varied/alternate data sources
• Actively collaborate with technology team, product management, operations teams and other stakeholders
• Move seamlessly between business problems and coding
• Present complicated analytical solutions to a non-technical audience
• Work with very large data sets residing in different data stores in disparate format
• Readiness to work in a highly results‑oriented and fast changing landscape in a fintech start‑up

Qualification:

• BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field
• Advanced degrees preferred
• 1+ years of relevant experience in Banking / NBFC domain

Technical skills required:

• Fluency with R, Python, and commonly used machine learning frameworks
• Build key data sets to empower insights, Spark, SQL, MySQL, SAS, and distributed computing
• Proficient in classical ML algorithms (Linear/Logistic Regression, Decision Trees, Boosting, Clustering etc); Deep Learning/NLP good to have