Risk / Data Analytics - Intern

Intern - Risk / Data Analytics

About bluCognition:

bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data

enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services 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: Intern

To help us level up, you will ideally have:

• Delivering risk and/or analytic solutions in the financial services industry
• Working with stakeholders across product management, data science, and engineering and driving implementation of risk and data analytic strategies
• Managing challenging time constraints and ensuring on-time delivery of projects
• Developing and generating management reports for portfolio monitoring
• Collecting data, analysing, and identifying key differentiating indicators for segmentation and for driving effective risk mitigation and/or marketing strategies.
• Working closely with partner teams in identifying, evaluating, and recommending new data that helps in overall risk and marketing strategies.
• Analyzing portfolio trends and simulating risk and marketing strategies
• Working closely with data science team on model building and deployment
• Building scorecards that leverage both internal performance data and external performance data
• Performing analysis, developing strategies and crafting presentations that help articulate strategy for the leadership team.

What will your role involve?

• A quantitative background in engineering, statistics, math or economics or related disciplines.
• Knowledge of database query language (e.g. SQL) and developer tools such as Python, R , databricks in a finance or analytics field.
• Prior model building experience is a plus but not critical.
• An analytical mindset and strong problem-solving skills, attention to detail and ability to multitask.
• The ability to work in a fast-paced environment and to deal with ambiguity.
• Strong communication, interpersonal and presentation skills; ability to engage and collaborate with multiple stakeholders across teams.