Senior Associate Vice President - General Insurance Analytics - IIT/IIM/ISB/XLRI/NIT

Senior Associate Vice President - General Insurance Analytics - IIT/IIM/ISB/XLRI/NIT

The position requires the ability to combine data analysis, statistical modeling, data visualization and Business Intelligence, and communication in order to deliver high impact results via a high performing dual shore team. Good understanding of insurance industry is necessary

Essential Functions :

- Emphasis is on providing insights to the client, guidance to the team and managing end to end engagements with insurance focus

- The position requires the ability to combine data analysis, statistical modeling, data visualization and Business Intelligence, and communication in order to deliver high impact results

- Structure analytical solution to address business objectives

- Provide business acumen and hypothesis

- Responsible for project planning and delivery

- Effectively guide the team around problem structuring and use of analytics (tools and techniques) to carry out analysis

- Presenting work to, liaison with and build relationships with the client as required

Primary Responsibilities:

- Dual shore project management, coordination of all sub-team efforts, both onsite and offsite

- Strong communications, including deck writing

- Facilitation and gathering of client feedback on problem structuring

- Management of frequency of feedback loop with team

- Identify gaps and help build capabilities in junior team members

- Mentor other team members and partners on technical skills, best practices, problem solving approaches, and standard patterns used at client - both formally in structured group settings and informally in one-on-one and small group sessions

- Continuously improve technical design patterns, workflows, and tools-defining and enforcing standards when necessary to sustain the solutions' effectiveness and sustainable, and experimenting with and promoting adoption of new tools and approaches when appropriate

- Proactively generalize and share technical approaches and best practices among other developers, and simplify and communicate success stories to broader audiences across the company

- Develop and grow Insurance Analytics practice within the UK working with the leadership team in the UK and globally

Skills:

Technical Skills:

- Experience of working with insurance clients in UK market (General Insurance - personal line, commercial, specialty and London market insurer or Life Insurance)

- Experience of working in agile formats across multiple squads

- Experienced in analyzing large, complex, multi-dimensional datasets with data querying languages (e.g. SQL), BI Tools (MicroStrategy, PowerBI, Tableau, Alteryx, Qlik etc.), programming languages (e.g. Python, Java, Scala, etc.), statistical/mathematical software (e.g. R, SAS, Matlab)

- Experience with one or more insurance policy admin or claims platforms is a plus

- Has at least one or more of the following experiences:

- Building and presenting claims analytics models including fraud, recovery, 3rd party spend optimisation etc.

- Experience in building/managing contact center strategy using data and analytics and recommendation engines for next best action to agents.

- Experience in pricing and underwriting including loss cost modeling, severity modeling, lead prioritisation, NTU and decline analytics

- Experience in actuarial science

- Experience in Marketing Analytics including cross-sell, product recommendation, response-conversion models, attribution modeling, media mix optimisation etc.

- Experience with usage of data and analytics in life, pension, health or group benefits

- Advanced Analytics and Data Modelling - Implementing machine learning techniques and advanced statistical modeling such as Nave Bayes, SVM, Random Forest, and Gradient Boosting. Guiding junior members of the team in building ML solutions

Soft Skills:

- Superior analytical and problem solving skills

- Strong people management skills and experience

- Demonstrated leadership ability and willingness to take initiative

- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work

- Outstanding written and verbal communication skills

Education Requirements:

- Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Work Experience Requirements:

- 8+ years' experience, preferably in management consulting or Insurance industry in an analytical capacity

- Experience in the Insurance analytics within insurers like Aviva, Admiral, Hastings, Royal London, AIG, Chubb etc. is preferred

- Experience in data analysis and model development

- Experience in team management

- Experience of working in agile formats across multiple squads