Job Location: Delhi / NCR
Hi
Our client is a NBFC company who have new requirement for their new Fintech verticle for their major business in Gold Loans and Car loans.
Our Client is a diversified Non-Banking Financial Company with presence across high growth segments like gold loans, car loans, Micro-Small and Medium Enterprises (MSME) Lending, Affordable Housing Finance, ConstructionFinance, and Indirect Retail Lending. Promoted by first generation entrepreneur. Its listed on listed on BSE and NSE. 3000+ Employee strength.
Planning to open 500 branches across MP Haryana.
While we already are a successful and public listed NBFC, we are transforming ourselves into a cutting edge, digital first FinTech organization. Transforming our existing business into a digital first, starting new verticals which are pure tech driven businesses, creating a high class – super entrepreneurial mind set teams who are driven to achieve this goal are few things which are already in action. We are also setting up dedicated technology office as well in Delhi NCR. Also, we soon would be a SFB (Small Finance Bank). We recently onboarded a tech industry veteran, ex-IITian, FinTech, EdTech and expert in building great teams and companies as our CTO to spearhead these initiatives.
JOB description
Job Title: Data Scientist
Experience: 2-10 Years
Job location: Delhi
Mandate skills:- Hands on experience in Python, sql, ensemble methods, CNN RNN, ML, AI, transformer/Bert.
You will spend time on the following:
Build models that will transform the financial products of the organization
Own new product experimentation including plan creation, roll-out, and monitoring.
Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy pipelines and to set up processes
Develop and track metrics and reporting functions to measure and monitor risk products on our platform
Effectively and proactively communicate insights and drive projects to drive towards team goals
Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts.
Work on various datasets, do data massaging, apply statistical analytics, generate insights, produce results and present them
Were Excited About You If You Have:
BTech/MS/MTech in Mathematics, Statistics, Computer Science or equivalent
Python experience; knowledge of R is a plus language
Experience of Ensemble methods, GANs, Transformers, Quantization
Mongo & Big Data Experience
SQL mastery: be able to write efficient and complex code.
Very strong verbal and written communication, and presentation skills including fluency in English
Highly detailed oriented
Able to identify stakeholders, build relationships, and influence others to get work done
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