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  Data scientist (WFH)
Designation: Data scientist (WFH)
Role: Software Developer
Function/Department: IT Software - Application Programming/ Maintenance
Industry: Strategy/Management Consulting Firms
State: Karnataka
City: Bangalore
Vacancies: 1 Nos
Job Type: Full Time
Salary Per Year:  INR 225,000 To 350,000
Qualification: Graduate
Course:  NA
Experience:  8 to 10 Years
Languages:  NA
Age Limit:  NA
Gender: No Preference
Notice Period:  NA
Job Posted: 07 January 2022

Job Description
work independently through ML lifecycle, from data engineering, model training, model testing to deployment. Proficient in Python Candidates should have applied ML and other statistical methods for credit scoring, credit risk ( PD, LGD, EAD, Expected Credit Loss), fraud detection, customer segmentation etc.. at Fintechs or banks. candidates with a very strong interest and aptitude in applying quantitative methodologies and data analytics for solving complex problems in the Investments / Fintech world Candidates should be helping us develop models to measure and forecast the financial performance and the underlying financial risks in the start ups that we invest in Alternative lending portfolio, you will also be helping us develop models to segment consumer or SME loans into heterogenous risk buckets and predict probability of default, loss given default and expected credit loss measures

Desired Candidate Profile
5+ Years of relevant work experience Motivated to work in a Fintech start up. Curiosity and the eagerness to learn and work collaboratively in a team. Very strong problem solving skills demonstrated in your academic learning and evaluated through case studies during our interview process. Sound knowledge in Statistics, Stochastic modelling, Monte Carlo Simulation, Calculus, Linear & Matrix algebra, Machine Learning algorithms. Basic understanding of financial securities, accounting, venture lending, credit risk. If you have not majored in these topics, It is ok to have self-learnt. Clear communication skills

Key Skills
Lgd Ead Credit Risk Data Analytics Credit Scoring Data Engineering Customer Segmentation Banking Probability Python
Contact Details
Recruiter Name:
Telephone: 9655449001/5, 9655290011,44
Company: SPM HR SOLUTIONS