Company

FinTech

AssociatePrincipal,DataAnalyticsEngineering-FinanceDomain

$0–0k Chicago, Illinois, United States CONTRACT
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for experienced candidates.

The Brief

“Associate Principal, Data Analytics Engineering - Finance Domain. Skills: Data analytics engineering, Data pipelines, Reporting solutions. Design automated workflows. Build automated workflows”

Industry & Context.

FinTech
Eligibility Requirements

In-person interview, 3 days per week onsite

What They're Looking For.

Must Have

Financial services industry, Data analytics programming skills, Data extraction programming skills, Data manipulation programming skills, Data processing programming skills, Advanced SQL skills, Complex query writing, REST APIs experience, Large datasets experience, Complex datasets experience, Dashboarding experience, CI/CD principles understanding, DevOps principles understanding, Data architecture knowledge, Data modeling knowledge, Cloud platforms experience, Python proficiency, R proficiency, MATLAB proficiency, Workflow tools experience, Orchestration tools experience, Git experience, Agile methodology experience, US Citizen or Green Card holder, Open for in-person interview, Willing to work 3 days per week onsite

Nice to Have

2+ years financial services experience, Agentic AI tools exposure, Generative AI tools exposure

What You'll Do.

Design automated workflows

Build automated workflows

Maintain automated workflows

Enable data extraction

Enable data processing

Enable data conversion

Develop data pipelines

Maintain data pipelines

Ensure process automation

Create department dashboards

Maintain department dashboards

Create monitoring solutions

Maintain monitoring solutions

Implement automated reporting

Implement sustainable reporting

Support analytics framework

Follow code review best practices

Follow testing best practices

Follow documentation best practices

Follow technical writing best practices

Optimize existing technologies

Develop new solutions

Inform decision-making

Analyze analytics processes

Provide design architecture solutions

How You'll Work.

Team & Collaboration

Working with business stakeholders

Process & Methodology

Agile methodology

Full Job Description

Job Description: This is a technical role that will report to the Director, Data Analytics Engineering, and will be responsible for assisting in designing and implementing technical solutions for the programs that oversee compliance with regulatory and internal control environment. This includes, but is not limited to, facilitating the automation of the organization’s control testing program by working with business stakeholders to establish data connections to various underlying data sets, as well as establishing, creating, and maintaining data connections, dashboards, and other solutions related to the department’s monitoring and surveillance program, including reports to management and the Board, while following development best practices. Location:Chicago, IL (3 days per week onsite) Employment Type:Permanent (Perm only) Experience Required:3–5 years (plus 2+ years financial services preferred) Key Responsibilities: * Design, build, and maintain automated workflows that enable data extraction, processing, and conversion to standardized data models. * Develop and maintain data pipelines that ensure end-to-end process automation related to different aspects of the Compliance program. * Create and maintain department dashboards and other monitoring solutions. * Implement automated and sustainable reporting for a variety of audiences including management, the Chief Compliance Officer, the Board of Directors, and regulators. * Support analytics framework by following best practices in code review, testing, documentation and technical writing. * Optimize existing technologies and data sets and develop new solutions to drive analyses and inform decision-making for Compliance. * Analyze overall analytics processes strategically and provide comprehensive solutions on a design architecture level. * Escalate issues to the Director, Data Analytics Engineering, as needed. * Other duties, as assigned. ## Requirements Required Skills: * Must come from financial services indust

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