Credit Risk Modeler

About Ford

Ford India manufactures automobiles, especially cars for the Indian market that are mid-range. The cars manufactured by Ford for India can be categorized into SUVs/MUVs/CUVs. Customers who like their cars to be on the heavy side prefer Ford.

Training, development & rotations

Ford is committed to offering opportunities to acquire new skills and strengthen its readiness to advance into new roles. A culture of continuous learning and development exists through structured core developmental programs, conducted by reputed institutions for employees to develop superior management skills and capabilities. A host of strategic and behavioral programs are also conducted to address specific training and developmental needs of employees.

Salary & benefits

The annual salary for the role at this company can range from INR 9 Lakhs to INR 11 Lakhs. (Source: Glassdoor)

Benefits offered to its employees include:

• Healthcare & Life Insurance
• Disability Insurance
• Dental Insurance
• Vision Insurance
• Flexible work options
• Paid time off
• Reward and Recognition
• Vehicle Benefits
• Maternity & Paternity Leave
• Employee Assistance Program

Work-life balance

At Ford in India, they embrace a culture of workplace flexibility, recognizing that every individual's needs are different. Ford has several programs like telecommuting, transitional work arrangements, and sabbatical leave, available to its employees. Work days are usually from Monday to Saturday (Flexible Timings).

Culture & vibe

An enterprise is described via way of means of the subculture it practices and promotes. At Ford, humans come first. The organization promotes an inclusive recruitment technique and identical possibilities for all. Their experience of team spirit allows the enterprise to create extra prices within side the international and construct higher vehicles.

About you

Requirements:

• You should have a very good understanding of Predictive Modeling Techniques and their application.
• You should know the Credit life cycle.
• Statistics and machine learning techniques.
• Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, and cluster analysis.
• Team player and collaboration skills.
• Programming skills in R, SAS, and Python.
• Fluency with Excel, PowerPoint, and Word.

Required Degree Level:

• Bachelor's Degree or equivalent.

How to apply

To apply for this role, just click on the "Apply on employer site" button below, which navigates to the career page where the application can be submitted directly.