Risk Data Engineering and Optimization Specialist: High Salary and Hybrid Work

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Risk Data Engineering and Optimization Specialist

Lead risk data solutions and automation using Power Platform, Power BI, HTML, Phyton and more. Great salary, benefits, and hybrid work. Apply if you seek impact and career growth.




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This exciting opportunity as a Risk Data Engineering and Optimization Specialist comes with a competitive salary between $61,600 and $113,900 and is a full-time permanent role. The position offers a hybrid model, balancing in-office and remote days for improved flexibility. You will benefit from a robust benefits package, including health insurance and retirement savings plans.

Day-to-day: What to Expect

In this role, your main responsibility will be building and automating data processes for the Business Risk group. You will extract, transform, and visualize data with Power BI and Power Platform.

Expect to automate manual business tasks using state-of-the-art tools such as Phyton and build custom workflows in Power Apps. You’ll develop interactive dashboards for actionable business insights.

The job also involves documenting workflows and providing training to boost the team’s self-serve analytics abilities with Microsoft 365. Cross-team collaboration is a major focus for ongoing innovation.

You’ll support optimal data flow and reporting using HTML customization and Power Automate, streamlining approvals and business operations efficiently.

Being adaptable and ready to take on broader accountabilities ensures variety and scope for professional growth in this technology-driven team.

Pros: Standout Benefits

One of the most attractive features is the salary range, which is highly competitive within the tech and banking industries, particularly for specialized roles like this one.

The hybrid work model adds flexibility and promotes work-life balance, while the total rewards package includes health coverage, tuition reimbursement, and retirement plans.

Cons: Considerations to Keep in Mind

The specialist requirements could make the initial onboarding and ongoing expectations challenging if you lack experience in Power Platform or data modelling.

Additionally, the hybrid model means that you must be able to commute several days a week, which might not suit those looking for fully remote work.

Final Verdict

If you’re looking for a role that values innovative thinking, offers strong compensation, and encourages professional development in banking tech, this is a great fit. With the combination of hybrid work and a collaborative environment, this role is ideal for driven, skilled tech professionals looking for impact and advancement. Those seeking a challenge with clear pathways for growth will especially appreciate what this position offers.

Recommended for you

Risk Data Engineering and Optimization Specialist

Lead risk data solutions and automation using Power Platform, Power BI, HTML, Phyton and more. Great salary, benefits, and hybrid work. Apply if you seek impact and career growth.




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