Risk analytics
1 month ago
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.g.
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.
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