Experienced Risk Management Director – Data Science and Business Analytics
Join arenaflex, a leading organization in the financial services industry, as we seek a highly skilled and experienced Risk Management Director to lead our data science and business analytics efforts. At arenaflex, we are committed to delivering exceptional customer experiences and driving business growth through innovative risk management strategies. As a Risk Management Director, you will play a critical role in shaping our risk management framework, driving business decisions, and ensuring the integrity of our data-driven approaches.
About arenaflex
arenaflex is a global leader in the financial services industry, providing a wide range of products and services to individuals, businesses, and institutions. With a rich history of innovation and a commitment to excellence, we have established ourselves as a trusted partner for our customers and a leader in our industry.
Key Responsibilities
As a Risk Management Director at arenaflex, you will be responsible for:
- Leading the development and execution of business procedures and risk management strategies using agency business or customer data to drive informed decision-making.
Driving the investigation and analysis of structured and unstructured data
, using statistical, financial, AI, or business intelligence techniques to identify trends and patterns.
Collaborating with innovation and other teams
to integrate and implement risk management approaches and business systems.
Identifying and assessing new data sources
that can enhance the productivity of arenaflex's products and services.
Advancing the use of industry and internal best practices
and incorporating feedback to drive continuous improvement in risk management systems and documentation.
Requirements
To be successful in this role, you will need:
- A graduate degree in Finance, Statistics, Mathematics, Econometrics, Business Administration, Operations Research, Computer Science, Actuarial Science, or a related field.
2 years of experience in risk analysis and data science
, with a strong background in data analysis, statistical modeling, and business intelligence.
- 1 year of experience in each of the following areas:
+ Deciphering complex analyses for technical and non-technical audiences. + Working with technical, scientific, business, and non-technical teams. + Process improvement and automation, using advanced algorithms and models. + SQL query optimization, including execution tuning, stored procedure improvement, and complex query optimization. + Data modeling and data control languages, including SQL and SAS. + Organizing and processing qualitative and quantitative data to inform decisions. + Requirements gathering, estimation, and automation. + Familiarity with Cognos, ETL tools, including SSIS, Python, R, Tableau, Teradata, MS Excel for data analysis and reporting, Prophet, and VBA.
Working from Home
As a remote worker, you will have the flexibility to work from anywhere in the United States, with a stable and secure internet connection.
Benefits and Perks
At arenaflex, we believe in supporting our associates and their families through a comprehensive benefits package, including:
Competitive base salaries
*
Extra incentives
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6% company match on retirement savings plans
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Free financial training and financial wellness support
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Comprehensive medical, dental, vision, disability, and life insurance benefits
* 20+ weeks of paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy * Free access to on-site health centers, staffed by medical professionals and specialists (dependent on location) *
Free and private coaching support through our Strong Personalities program
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Career advancement and training opportunities
Equal Opportunity Employer
arenaflex is an equal opportunity employer and makes business decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
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Note:
The above addresses the typical compensation range for this job posting. Ultimately, in determining your compensation, we will consider various job-related factors, including experience and location.
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