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Job Title: Insurance Operations Manager
Location: Kharadi( Pune)
willing to work in AUS Shift
Job Summary:
The Insurance Operations Manager is responsible for overseeing and optimizing the daily operations of the insurance division. This role involves streamlining processes, ensuring compliance with regulatory standards, enhancing customer service, and managing policy administration. The ideal candidate will have strong leadership skills, a keen eye for process improvements, and in-depth knowledge of insurance operations.
Key Responsibilities:
- Oversee the end-to-end insurance operations, including underwriting, claims processing, and policy administration.
- Develop and implement operational strategies to enhance efficiency and service delivery.
- Ensure compliance with all regulatory and legal requirements within the insurance industry.
- Manage and optimize relationships with insurance providers, brokers, and third-party vendors.
- Monitor and analyze key performance indicators (KPIs) to drive operational excellence.
- Lead, mentor, and develop a team of insurance professionals, fostering a culture of high performance.
- Implement best practices in risk management, fraud prevention, and quality assurance.
- Drive process automation and digital transformation initiatives to improve workflow efficiency.
- Handle escalated customer queries and ensure timely resolution of complaints.
- Collaborate with cross-functional teams to align operational objectives with business goals.
Qualifications & Experience:
- Strong knowledge of insurance policies, claims processing, underwriting, and compliance regulations.
- Proven ability to lead teams and drive operational efficiencies.
- Experience with insurance software systems and process automation tools.
- Excellent analytical, problem-solving, and decision-making skills.
- Strong interpersonal and communication skills to liaise with stakeholders at all levels.
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Desired Experience
3+ years
Job Description
What You’ll Do
- Design financial systems for scale. Measure, plan, iterate.
- Writing reusable, testable, and efficient code
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- Setup and own the engineering architectures built around event sourcing, application sharding, database sharding, service communication mesh, etc.
- The tech: Go, Google Cloud Spanner, Kafka, Redis
What you bring to the table
- 3+ years of experience. Relevant experience is preferred.
- Knowledge of 2 common programming languages - Python & Go / Java & Node / Rust
- Comfortable in linux command line, AWS or GCP
- Strong unit test and debugging skills
- Great communication skills
Bonus if you have…
- Love building great products and engineering systems from scratch
- Are a Self-starter, Hustler and Curious to Learn
- Have an understanding of fundamental design principles behind a scalable application
- Thrive in an early-stage startup environment with less stability and more ambiguity
- Have an interest in financial products and/or cryptocurrency
This role requires a balance between hands-on infrastructure-as-code deployments as well as involvement in operational architecture and technology advocacy initiatives across the Numerator portfolio.
Responsibilities
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Technical Skills
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1. Excellent problem solving and logical skills.
2. Highly proficient with Node JS and JavaScript design patterns.
3. Developing RESTful APIs that read and write JSON.
4. Experience with databases like MongoDB, Redis or any NoSQL databases.
5. Proficient understanding of code versioning tools, such as Git.
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8. Highly motivated Individual to learn and to mentor project members.
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- Expert level skills in Coldfusion 9
- Expert level skills in MachII and Coldspring frameworks.
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- Knowledge and skills in static code analysis and performance management tools [Client side, Server side, Database]
- Expert level skills and understanding of any of the SCM/VCS like SVN and GIT etc.
- UI: HTML/CSS
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Excellent verbal and written skills, with shown ability to communicate complex ideas
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- To build relationships with customer needs,market trends and competitors.
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recommending solutions.
● Outbound calling on data collected through lead generation activities / secondary data sources.
● Daily follow-ups on older leads and work on new leads.
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