Senior Associate Vice President
3 weeks ago
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.
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 subteam 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 oneonone and small group sessions
- Continuously improve technical design patterns, workflows, and toolsdefining 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, multidimensional 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 crosssell, product recommendation, responseconversion 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
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 handson 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
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