Risk Analytics

2 weeks ago

Delhi, India bluCognition Full time
About bluCognition:
bluCognition is an AI/ML based start-up specializing in developing data products leveraging alternative data sources and providing servicing support to our clients globally. We are headquartered in the US, with the delivery centre in Pune.
Our clients are some of the biggest and the most progressive names in the financial & telecom industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey.
Position: Director Credit & Risk Analytics
As part of our Analytics Consulting vertical, we are looking for an experienced Risk Analytics - Assistant Manager / Manager to lead the credit risk management strategy for our rapidly growing US based consumer Buy Now, Pay Later client. In this role, and involves developing and optimizing the risk framework, leveraging data-driven insights, and ensuring sound credit decisions that balance growth and risk.
Position: Risk Analytics - Assistant Manager / Manager
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.
Analyze 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 data base query language (e.g. SQL)analysis and programming and developer tools such as Python, R , databricks 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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