By Function
Account Management 6
Accounting & Finance 38
Administration 8
Auditor 2
Banking & Finance 1
Business Development 40
Compliance 3
Consultant 11
Customer Service 4
Developer 12
Engineering 26
Engineering 14
General Management 23
Health and Safety 7
Human Resources 26
Information Technology 32
Legal 9
Logistics & Supply Chain 13
Manufacturing 22
Marketing 34
Merchandising 1
Operations 32
Other 26
Production Management 19
Project Management 20
Public Relations 4
Quality Control 16
Research 14
Risk Management 4
Sales 84
Sales & Marketing 50
Supply Chain 8
Trading 1
By Industry
Advertising 2
Agriculture 3
Automotive 57
Banking & Finance 4
Chemical 26
Construction 25
Consultancy 5
Consumer Goods / FMCG 59
Digital 11
E-Commerce 14
Engineering 19
Entertainment 1
Fintech 7
Garment/Textile 5
Health 11
Hospital 4
Hospitality 3
Hotel, Restaurant, Cafe 8
Information Technology 40
Insurance 2
Logistics 10
Manufacturing 54
Market Research 3
Medical Devices 3
Mining 9
Oil & Gas 14
Other 58
Pharmaceutical 7
Power Generation 1
Printing Industry 5
Professional Services 12
Property & Real Estate 11
Retail 24
Telecommunications 5
Trading and Distribution 24
Data Analytics Manager - IT Consultant
Job Descriptions:
- Build predictive models for credit risk, collections, fraud, and other business needs in Financial Industry
- Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance
- Engineer predictive features from existing data to build refined customer profiles. Identify external data assets to bring into the model mix
- Work backwards to conceptualize and design analytic model frameworks to solve business problems
- Strong communication skills to share your learnings, lead with the given strategy, get multiple stakeholders to buy into the vision and execution of the analytics roadmap
Requirements:
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 4 years of hands-on experience in building, evaluating, and monitoring ML collection risk or consumer credit scoring models for financial products
- At least 2 years of leadership experience
- Solid understanding of mathematics and statistics
- Sound knowledge of machine learning concepts such as Bagging, Boosting, Recommendation Engines, etc
- Expert in feature creation on a variety of data types
- Professional experience in building machine learning analytics model development
- Understanding of trade-offs between model performance and business needs
- Proven experience to formulate data science solutions to business problems
- Proven ability to communicate with business and know business needs
- Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Fraud analytics etc.