As a Senior Data Scientist you will conceptualize, develop and execute statistical, mathematical and econometric models for business decision making, risk assessment and strategic initiatives. You will responsible for financial planning models, fraud detection models, customer analytics, credit risk management and asset liability management. This position will also assist in addressing model validation requirements including remediation of validation findings.
Requirements
- Social media images and text mining and build modelling for strategic business direction for the company's financing program. Provide analysis and deliver insights from the model.
- Build solutions and scenarios with creativity to support decision making.
- Identifies opportunities to apply quantitative methods to improve efficiency and outputs.
- Develops model monitoring plan, monitors statistical model performance, and provides technical guidance to business leadership.
- Maintains sustainable model code and follows best practices for collaboration and version control.
- Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions.
- Analyse trends and connect data in new and innovative ways.
- Communicate results, explain behaviour of models, and set appropriate expectations with stakeholders.
- Act as a backup of technical manager.
- Bachelor's Degree/Post Graduate Diploma/Professional Degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field.
- At least 5 years of work experience working as a model developer or model validator at a bank, financial firm or credit bureau agencies.
- Knowledge of stress testing and regulatory requirements related to model risk management.
- Experience with industry best practice modeling techniques and demonstrable skills in prototyping, benchmarking and empirical analysis.
- Experience with credit risk models and consumer banking models preferred.
- Candidate must have working knowledge of R/Python/SAS/SQL or other advanced statistical/econometric analysis software.
- Ability to forge strong partnerships with business units across the bank or financial firm.
Skills Required
- Bachelor's Degree/Post Graduate Diploma/Professional Degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
- At least 5 years of experience as a model developer or model validator at a bank, financial firm or credit bureau
- Working knowledge of R, Python, SAS, SQL or other advanced statistical/econometric analysis software
- Knowledge of stress testing and regulatory requirements related to model risk management
- Experience with industry best-practice modeling techniques, prototyping, benchmarking and empirical analysis
- Experience with credit risk models and consumer banking models
- Experience with social media image and text mining and building models to inform business strategy
- Develop and maintain model monitoring plans; monitor statistical model performance and remediate validation findings
- Maintain sustainable model code and follow best practices for collaboration and version control
- Ability to collaborate with stakeholders across the firm and communicate model results and limitations to business leadership; act as backup technical manager
- Experience leveraging internal and third-party vendor data to drive business solutions
What We Do
Two95 International Inc., is a global technology firm specializing in enterprise solutions that evolves over BPM, Mobility, Cloud, Analytics, E-commerce & Social Business. Our client base includes several Fortune 500 and mid-market companies across industries and varying geographies. With vast knowledge and knowhow of 20 years in the IT field, we have been chosen as INC500 fastest growing company in North America in 2013. With the accolade of being ranked 11th in Human Resources by INC500, we have also been nominated as the 3rd fastest growing company in South Jersey by SJBM. We are ranked among the Top 20 IT Companies in New Jersey based on the year-on-year growth for the last 3 years. With a seasoned team of highly qualified personnel, our offices are located in New Jersey, Canada and India.
