Job Description:

Essential Functions / Responsibilities

- Develop and support Best-in-class analytic solutions/algorithms for Fraud Prevention Strategy team in the Credit functions as required

- Identify the key trends associated with fraud using advanced analytics and help the business to deploy necessary strategies to prevent the fraud

- Leverage internal and external customer and account information - use numerical, computational and operations research techniques to solve for Fraud Mitigation

- Work on multiple projects simultaneously Manage projects independently

- Communicate fraud trends to Fraud Analysis and Strategy manager and senior leadership

- Coach analysts in various business/technical aspects, establishing priorities and coordinating work

- Support tracking and reporting of strategy champion/challenger tests including a preliminary analysis of the performance of the different strategies

- Facilitate Lessons Learned session at the close of each project Follow through on action items to ensure Best Practices are incorporated into future projects

- Perform other duties and/or special projects as assigned

Qualifications / Requirements

- 5+ years- Consumer Credit experience in Analytics with Degree in following Majors - Mathematics/Statistics, Operations Research, Economics, Computer Science/Engineering or other quantitative majors

- At least 3+ years hand on experience in Advanced Analytics

- Working knowledge of Logistical/Linear/Regressions CHAID/CART/Clustering techniques, Optimization (LP, NLP, Integer Programming), Simulation & Neural network tools

- Working knowledge of SAS, Python/R, SQL, Unix, Excel Tableau, SAS E Miner would be a plus

- Strong Team Player in a cross-functional environment and excellent problem-solving skills

- Strong written/oral communication skills

Desired Qualifications

- Exposure to Big Data technologies

- Working knowledge of credit bureaus

- Work experience in a US financial institution or bank

- Systems Implementation experience

- Knowledge of US, Canadian credit bureau data

Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 19th Apr 2020

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