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25/11 Shweta Arora
Associate at Crescendo Global

Views:90 Applications:20 Rec. Actions:Recruiter Actions:7

Manager - Credit Risk - Bank (4-9 yrs)

Any Location Job Code: 1185521

Manager-Credit Risk - (4-8 years)

Looking for a professional with 4-8 Years of experience preferably in Credit Risk and Underwriting to mitigate Risk using tools like Python and SQL. The specific team is responsible for day-to-day servicing of Risk Mitigation, Credit Risk Management and Product Management.

Location: Mumbai

Your future employer: Leading global firm, providing tailor made programs for clients and customers in the risk analytics and artificial intelligence.

Key responsibilities:

1. Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management)

2. Working with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies

3. Managing challenging time constraints to ensure on-time delivery of projects

4. Working closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.

5. Analysing loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.

6. Working closely with data science team and recommends credit risk decisioning and model deployment strategy.

7. Building a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers

Key Requirements:

1. Quantitative background in engineering, statistics, math, economics, business, or related disciplines.

2. 4+ years' experience in analysing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R , databricks in a finance or analytics field.

3. 1+ years of experience in leading high performing team of analysts

4. Experience in working with non-traditional data such as social media will be a big plus.

5. Prior model building experience is a plus but not critical.

6. Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask.

7. Comfortable working in a fast-paced environment and dealing with ambiguity.

What's in it for you?

- A high-performance culture with phenomenal career progression.

- A stimulating working environment with colleagues from top-tier institutes.

- A high-performance culture with phenomenal career progression.

Women-friendly workplace:

Maternity and Paternity Benefits

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