Data Scientist for General Insurance Rate Revision
2 weeks ago
Company Overview
EXL is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption.
We use our proprietary, award-winning Business EXLerator Framework to integrate analytics, automation, benchmarking, BPO, consulting, industry best practices, and technology platforms to improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.
Our global footprint spans over 24 locations, with professionals serving clients across the United States, Europe, Asia, Latin America, Australia, and South Africa.
Job Description
This role requires a data scientist with expertise in general insurance rate revision and implementation projects for US markets. You will analyze and present data, work closely with the EXL team and clients, and prepare rate filing material to be submitted with the department of insurance.
You will also assist in learning and development of new team members, identify and participate in continuous improvement initiatives, and ensure compliance with Data Privacy and Protection Guidelines.
Key Responsibilities
- Complete understanding of the current state of affairs and problem statement
- Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing solutions
- Perform competitive analysis by comparing the client rates with competitor and provide insights to improve the clients market position
- Analyze graphs and draw insights from it
- Experience in data extraction and data manipulation in Excel, SAS/SQL
- Data control and data automation experience
- In-depth data analysis like identifying major trends, univariate and multi-variate analysis
- Personal and commercial lines general insurance pricing, reserving for US insurance markets
- Knowledge of general insurance domain and P&C actuarial concepts is a must
- Excellent written and verbal communication skills
Candidate Profile
- Bachelor's/Master's degree in economics, mathematics, actuarial sciences
- Affiliation to IAI or IFOA, with at least 2-3 CT actuarial exams
- 3+ years' experience, with good understanding of P&C pricing actuarial concepts
- Strong analytical skills with previous experience of applying actuarial/statistical methodologies to business problems
- Good Knowledge of GI actuarial modelling package such as Emblem, RADAR and Earnix
- Strong IT skills, will need to be comfortable with basic programming in SAS and eager to develop this skill.
- Exposure to US general insurance market is preferable
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe
What We Offer
- EXL Analytics offers an exciting, fast-paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions.
- From your very first day, you get an opportunity to work closely with highly experienced, world-class analytics consultants.
- You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
- Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
- We provide guidance/coaching to every employee through our mentoring program wherein every junior-level employee is assigned a senior-level professional as advisors.
- Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.
- The estimated salary for this role is around $90,000-$120,000 per year, based on the job description and location.
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