Solution Architect Lead : Insurance / Reinsurance (Latam)

Solution Architect Lead : Insurance / Reinsurance (Latam)

19 jul
|
Sas Institute
|
Buenos Aires C.F.

19 jul

Sas Institute

Buenos Aires C.F.

Solution Architect Lead : Risk Insurance / Reinsurance (LATAM)Are you a problem solver, explorer, and knowledge seeker : always asking, "What if?"If so, then you may be the new team member we're looking for. Because at SAS, your curiosity matters : whether you're developing algorithms, creating customer experiences, or answering critical questions. Curiosity is our code, and the opportunities here are endless.What we do We're the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo, and changing the way we live.





What you'll doThe Solution Leader is the ambassador for his product towards the market.The Solution Leader must gather market requirements, consolidate them, prioritize them, transform them into a software offering. The field of application will primarily be regulation such as IFRS 17, pricing, budgeting and cash:flow generation.The Solution Leader will work with customer facing SAS personnel and with the Product Managers, who are responsible to translate the requirements into product features. The Solution Leader is also responsible to produce documentation, prepare enablement material, etc.....You will:Create relationships with SAS customers and advisory partnersInteract with clients to assess their business needs, including leading customer connectionsLead functional assessments to understand solution requirements for risk and finance frameworksTeach business best practices to SAS and customer teamsDefine the strategy and lead the evolution of the offeringOrganize bi:weekly calls on your solution with sales, pre:sales, marketing, partner channel. Participate on follow:ups for in:depth analysis of specific requirementsDefine the priorities and communicate feedback to the FieldTranslate requirements in functional description Drive Sales and Tech Exchanges together with the Product ManagerProvide demo scripts and user manualDefine and execute enablement and training (sales, presales, PSD, and Partners) in a train the trainer modeIn case of main releases/escalations manage update presentations for partners and customersWhat were looking forThe successful candidate will have a background in insurance/reinsurance or financial services, technical expertise in developing/implementing regulatory models/reporting frameworks, including an awareness of at least two of the following:Solid actuarial knowledge and experience in valuation, financial reporting, pricing, Professional actuarial qualifications such as FSA, FIA, CIA or equivalentGood understanding of international standards such as IFRS 17, Solvency II, ORSA or LDTI,Experience developing actuarial models in SAS, Python, Matlab or using Actuarial software such as Prophet, GGY Axis, Milliman Arius, ResQ, etc....Experience with ALM or Economic Capital Models in Insurance Professional accounting qualifications such as CPAThe successful candidate should also have:A passionately curious, dedicated life:long learner with an analytical mind, strong communication skills to convey the non:technical to a technical audience, and an accountable problem:solving dispositionMinimum of 2 years' experience within a financial institution or consulting firm Experienced in computer programing language and risk modeling, with interest in expanding technology skills and knowledgeBS in Mathematics, Actuarial Science, Economics, Computer Science, Statistics, Physics, Engineering, Accounting, or other quantitative field preferredAbility to coach and mentor colleagues on risk and finance technical topics Ability to travel (occasional to USA headquarters)The nice to havesExcellent communication skills and the ability to explain complex math and statistical concepts to an executive audience MS in Actuarial Science, Financial Mathematics, Economics, Computer Science, Physics, Accounting, or other quantitative field Additional risk domain knowledge co

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