Manager - Analytics - Credit Risk Data

JD - Manager Analytics (Credit Risk)

Are you passionate about solving roadblocks & challenges faced by MSMEs in India

We are hiring for a Company that have built a product that saves time of MSMEs by managing their credit, creating transparency in cash flow, henceforth increasing trust with their consumers and that paved the path for us to become Indias fastest growing fintech company.

Why work with us:

- People are our biggest asset! At Company, every one of us is a dynamic superstar. We have carefully bred an ecosystem which hires nothing but incredibly and exceptionally talented people who can dream, collaborate, experiment, and break new ground. Were a strong team that looks out for each other.

Your role:

- We are looking to hire a Manager Analytics - Credit Risk. Would you like to be part of a fun, fast-paced team working in a strong data-driven culture? If you like a high-adrenaline job, with plenty to learn.

What would you do:

- Developing and monitoring policies for credit underwriting, limit assessment and pricing.

- Drive strategy and decision making for credit line expansion.

- Help shaping the product to improve visibility, coverage and data collection from a credit lens.

- Work with internal and external stakeholders to ensure accurate reporting of credit performance.

- Enable senior leadership decision making by streamlining the measurement of KPIs and identify the key drivers of these KPIs by building causal models.

- Responsible for defining, developing and communicating key metrics and business trends to leadership teams.

- Lead and mentor junior business and data analysts.

What are we looking for:

- 5+ Years of experience in relevant role and 2 years or more in a Lead Analyst role.

- Prior experience in credit risk analytics is mandatory.

- Strong background in statistical modelling and experience with statistical tools such R, Python, Spark, SAS or SPSS.

- Technical capabilities: Proficient in SQL, Excel, Other scripting language (PHP, Python,Perl etc.)

- Strong working experience with BI tools (Tableau, Qlikview, Power BI, Cognos, BO, Pentaho etc.)

- Strong quantitative abilities, distinctive problem-solving and excellent analysis skills

- Strong organizational, communication, presentation and project management skills

Role: Data Science & Analytics - Other

Industry Type: Analytics / KPO / Research

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Analytics - Other