Experienced Director of Data Science – Global Data Strategy Lead at blithequark
Are you a seasoned data science professional with a passion for driving business growth through data-driven insights? Do you have a strong background in leading global data strategy teams and developing innovative analytics solutions? If so, we invite you to join blithequark as our Director of Data Science – Global Data Strategy Lead. At blithequark, our Risk Finance group plays a critical role in planning, forecasting, and evaluating global Loss Provision and Credit Reserves. As a key member of our team, you will lead the Global Data Strategy group, responsible for building and maintaining centralized reporting capabilities, implementing process enhancements and automation, and delivering revolutionary data solutions to support strong forecasts and analytics for the wider Risk Finance organization.
About blithequark
blithequark is a leading global financial services company that provides a wide range of products and services to individuals and businesses. Our company is committed to innovation, customer satisfaction, and employee development. We offer a dynamic and inclusive work environment that fosters collaboration, creativity, and growth.
Key Responsibilities
As our Director of Data Science – Global Data Strategy Lead, you will be responsible for:
- Leading the strategic evaluation of blithequark credit metrics, credit provision, and reserve for Senior Management in Risk and Finance
- Owning precise information assets/packages within Risk Finance, and becoming a subject matter expert of the applicable tools (troubleshooting issues, reconciling results, identifying enhancements and automation possibilities, and teaching other customers to drive adoption)
- Developing and maintaining preferred and ad-hoc reports used by Risk Finance and/or business partners; providing credit-associated analytical support
- Developing and presenting key analyses and recommendations to Senior Management
- Building and maintaining relationships across Risk Finance portfolio groups and with partners in Risk, Controllership, Tech, etc.
- Providing decision-aid with a strong emphasis on growing analytics that identify trends and opportunities within the portfolio which can be used to optimize Business and Risk decisions
Required Qualifications
To be successful in this role, you will need:
- Advanced experience working with a combination of the following: SQL/Hive, Power BI/Tableau, Python/R, VBA, TM1
- Experience working with a sophisticated level of Excel and PowerPoint required
- Experience in ML modeling is a plus
- Solid economic and analytical skills; ability to work with large datasets and draw significant conclusions, empowering our business partners to make smart, data-driven decisions
- Superior attention to detail, alongside exemplary organizational and problem-solving skills
- Must be results-driven and proactive with the ability to manage multiple tasks and work within tight timelines
- Desire to work on ambiguous tasks, growing clarity while achieving successful and significant outcomes
- A strong work-ethic and strong interpersonal skills, showcasing the ability to build and maintain relationships and successfully collaborate with team members to achieve goals
- Master's degree in advanced mathematics or statistical discipline required
Considerations for Sponsorship
Depending on factors including business unit requirements, the nature of the position, value, and relevant laws, blithequark may offer visa sponsorship for certain positions.
Compensation and Benefits
The anticipated salary range for this position is $55.00 to $85.00 hourly + bonus + equity (if relevant) + benefits. Ultimately, in determining your pay, we will consider your location, experience, and other job-related factors.
Why Join blithequark?
At blithequark, we prioritize our colleagues' and their loved ones' holistic well-being. We offer benefits and programs that support their physical, economic, and intellectual health throughout every stage of life.
How to Apply
If you are a motivated and experienced data science professional looking for a new challenge, please apply to this role through our website. We look forward to reviewing your application and discussing this opportunity further. Apply Job! Apply for this job