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PA-West Chester - Dunwoody Dr, United States of America
Onsite
Principle Responsibilities:
Applies understanding of the Variable Annuity business, and the embedded market risks inherent to Variable Annuity products, to understand how those risks are strategically managed through a hedge program and investment portfolio while working to reduce risk to an acceptable level.
Develops and/or utilizes code libraries for market consistent valuations, statistics, analytics, and attributions.
Conducts research on theoretical valuation methodologies and models for derivatives and/or financial instruments.
Develops practical valuation solutions for the business to utilize.
Attains a high level of knowledge of the derivatives and/or investments contained in the company portfolio.
Develops a strong knowledge of market parameters and their impact on the value of VA Products and financial/derivative instruments within the company portfolio
Applies scalable technology to support the business and enhance the efficiency of our main profit centers.
Acts as a point of contact for and subject matter expert on bespoke business systems and models within functional area.
Acts as a communication liaison between the business and IT areas.
Consults on database structures, organizes data, and works on database optimization, etc.
Coaches and develops junior colleagues.
Performs research, ad-hoc analysis, and reporting as needed
Undergraduate degree plus 3-5 years of progressive experience in a highly technical, quantitative field (Financial Engineering, Quantitative Finance, Mathematics, Computer Science, Finance, Actuarial Science); advanced degree or equivalent advanced certification (CFA, ASA, FSA, CQF, etc.) preferred.
Practical experience in Computational Finance, Modeling, Stochastic Simulation, Econometrics/Regression is desirable.
Quantitative/analytic reasoning and problem-solving abilities and a basic understanding of how to apply numerical methods to add business value (e.g., curve fitting, optimization, root-finding algorithms, etc.).
Strong, practical OOP experience (C#, C++, Python, Java, etc.).
Knowledge of Derivative Pricing Theories, with an understanding of underlying theoretical assumptions and model limitations; knowledge of Equity and/or Fixed Income markets a plus.
Interest in the Capital Markets; knowledge of fixed income investment products, VA product features and embedded optionality, Capital Markets dynamics and valuation approaches, system design and development principles a plus.
Comfort with ambiguity and a bias for delivering results.
Excellent analytical skills, with strong attention to detail.
Strong written and verbal communication skills.
Knowledge of and comfort working with various database archetypes (e.g., MSSQL, Aurora Postgresql, etc.); knowledge of database design and optimization.
Knowledge of reporting tools (PowerBI, Tableau, Alteryx, SSDT, DAX, etc.) is a plus.
Knowledge of AWS technologies (EC2, RDS, Lambda, S3, Athena, Glue, etc.) is a plus.
Venerable Values:
Every position at Venerable has responsibility for living out the company's values as described here:
We are Courageous - We think critically, ask "why?" and seek out creative solutions.
We are Curious - We take calculated risks, learn from out failures, and challenge traditional ways of thinking.
We are Connected - We are connected to each other, our customers and our community.
Please note: The use of AI tools (such as ChatGPT or similar platforms) during interviews is not permitted without the prior approval of Venerable, as the use of such tools may interfere with company confidentiality, misrepresent a candidate’s skills and experience or otherwise conflict with Venerable’s hiring policies. If you are selected for an interview and a reasonable accommodation is needed, please notify the Venerable Human Resources recruiter aligned to the open position in which you are interviewing for.
If Venerable, in its sole discretion, determines that AI is being used during an interview without prior approval, Venerable reserves the right to end the interview early and/or disqualify a candidate.