Zorba Consulting - Risk Analytics Role (1-2 yrs)

Company Description.

- Zorba is a data-driven analytics provider based in Mumbai, specializing in delivering analytics-based strategic consulting solutions.

- They focus on operationalizing analytics at every stage of the decision-making process, offering services from analytics training to data management and transformation.

- Zorba's key offerings include data visualization, predictive modeling, and business process optimization, aimed at helping businesses achieve success through relentless improvisation.

Role Description.

- This is a full-time on-site role for a Risk Analytics position at Zorba AI in Mumbai.

- The role involves analyzing data to identify and mitigate risks, developing predictive models, and providing analytics-based insights to support decision-making processes.

Qualifications.

What will your day look like?.

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

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

- Manage challenging time constraints to ensure on-time delivery of projects.

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

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

- Work closely with data science team and recommends credit risk decisioning and model deployment strategy.

- Build 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.

- Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.

To help us level up, you will ideally have:.

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

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

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

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

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

- Possesses analytical mindset and strong problem-solving skills.

- Attention to detail and ability to multitask.

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

- Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.

- Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.