Selections Criterion
- Good quantitative skills - Please set expectation for an aptitude test, Puzzles, Case study & scripting questions.
- Good Undergraduate degree from a premier institute or Very good work experience
- Tools / Langauge - (R (very important) OR Matlab OR SAS OR SPSS) & (coding knowledge on Python (very important) OR C OR C++) & SQL (very important)
- Open with any domain / industry
Role Outline
The role of Senior Analytics Scientist - Risk Analytics is based in Chennai or Delhi and reports to the Manager/Sr. Manager leading the team.
The key requirement for the role is the ability to understand the business, develop data driven solutions to address business problems and provide analytic support to the risk analytics group. The individual will possess the ability to work in teams and display a proactive learning attitude.
Job description
Job Title Senior Analytics Scientist - Risk Analytics
Department Risk analytics
Key responsibilities
- Key responsibilities include
Building models to predict risk and other key metrics
Coming up with data driven solutions to control risk
Finding opportunities to acquire more customers by modifying/optimizing existing rules
Doing periodic upgrades of the underwriting strategy based on business requirements
Evaluating 3rd party solutions for predicting/controlling risk of the portfolio
Running periodic controlled tests to optimize underwriting
Monitoring key portfolio metrics and take data driven actions based on the performance
- Business Knowledge: Develop an understanding of the domain/function. Manage business process (es) in the work area. The individual is expected to develop domain expertise in his/her work area.
- Teamwork: Develop cross site relationships to enhance leverage of ideas. Set and manage partner expectations. Drive implementation of projects with Engineering team while partnering seamlessly with cross site team members.
- Travel - Should be flexible to travel between Noida and Chennai frequently.
- Communication: Responsibly perform end to end project communication across the various levels in the organization.
Candidate Specification:
Skills:
- Knowledge of analytical tools such as R/Python/SAS/SQL
- Established competency in statistical modeling
- Experience in handling complex data sources
- Dexterity with MySQL, MS Excel
- Strong Analytical aptitude and logical reasoning ability
- Strong presentation and communication skills.
- Strong process/project management skill
Preferred:
- 3- 7 years of experience in Financial Services/Analytics Industry
- Understanding of the financial services business
- Experience in working on advanced machine learning techniques
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