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Senior Manager, Analytics Developer - Compliance

Charles Schwab

Chicago (IL)

Hybrid

USD 115,000 - 197,000

Full time

Yesterday
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Job summary

A leading financial services firm is seeking a Senior Manager, Analytics Developer for their Compliance Analytics team. This role involves leading data-driven projects, developing automation solutions, and enhancing compliance reporting. The ideal candidate will have strong analytical skills, a quantitative degree, and experience with RPA tools. The company offers a supportive culture, flexible work environment, and various benefits, including a 401(k) match and paid parental leave.

Benefits

401(k) with company match
Paid vacation
Paid parental leave
Tuition reimbursement
Health, dental, and vision insurance

Qualifications

  • Minimum 6 years of quantitative business analytics experience.
  • Experience mentoring junior staff.

Responsibilities

  • Lead/manage cross-functional projects using advanced data modeling.
  • Build and maintain data models and reporting systems.
  • Design and deliver reports analyzing business functions.

Skills

Statistical Analytics
Communication
Problem-Solving

Education

Master’s degree in a quantitative field
Bachelor’s degree in a quantitative field

Tools

Robotic Process Automation
Tableau
SQL
Python
SAS

Job description

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Your opportunity

At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

In Compliance, we help our business partners achieve their strategic priorities by promoting principles and practices that build client trust and safeguard the integrity of the firm. We are currently offering the opportunity for a dynamic and engaging data analytics professional to join our Compliance Analytics team as an Analytics Developer Senior Manager.

The Compliance Analytics team partners with Compliance stakeholders to design, build, and implement data-driven solutions that help achieve strategic priorities in identifying potential regulatory and business risks to protect our customers and the firm. The team utilizes data, analytics, and data intelligence tools to enhance process efficiency and oversight coverage within Compliance. The Analytics Developer Senior Manager will report to the Senior Manager (PL), Head of Compliance Analytics, and focus on creating effective influence over the design, development, and implementation of analytics, processes, and delivery to support accurate, complete, and timely compliance reporting and monitoring needs. This position will work with a variety of Compliance stakeholders and enterprise-wide partners to implement innovative data solutions and functionalities that yield direct business value.

Success in this role means your day-to-day efforts will result in automation of business processes and creation of data-driven product solutions for Compliance partners and senior leadership through utilization of data extraction methods from Schwab internal sources, analysis, and visualization. Your work will help identify opportunities for automation and new or improved data-driven solutions, align with strategic direction, and produce data-driven products, all fulfilling the mission of Compliance at Schwab. You will demonstrate curiosity and a thirst to gather and understand business data and processes that assist in uncovering trends and opportunities for ongoing initiatives, while overcoming challenges, addressing risks, and finding sustainable solutions. Your experience and acumen using automation, analytical concepts, and statistical techniques—including but not limited to hypothesis development, designing tests/experiments, and model development—are necessary for your success.

Key Responsibilities Will Include, But Not Be Limited To

  • Lead/manage cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities;
  • Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support key business decisions;
  • Design and build technical processes to address business issues;
  • Design and deliver reports and insights that analyze business functions and key operations and performance metrics;
  • Communicate results and business impacts of insight initiatives to internal stakeholders;
  • Document technical/business requirements, testing scenarios, user acceptance, data lineage, and other knowledge-retention materials;
  • Manage partner relationships to help proactively identify automation opportunities and needs, and provide ongoing support and communication;
  • Analyze processes to identify automation improvement opportunities;
  • Review and refine proposals to optimize, improve, and automate business processes to deliver the desired outcome;
  • Lead the development of Robotics Process Automation (“RPA”) and other Power App proposals, and maintain technical documentation;
  • Design, develop, test, and deploy RPA, Power Apps, and Excel automation, documenting workflows and requirements;
  • Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics support that support key business decisions;
  • Provide routine technical support on complex automation events in a timely manner;
  • Provide regulatory and ad-hoc query support in a consistent and timely manner;
  • Support existing automation/processes and implement change requirements as part of a structured change control process;
  • Mentor junior team members on automation, RPA, and other process efficiency products;
  • Build data query, analytics, and visualization products for Compliance stakeholders to manage demand;
  • Support Senior Manager (PL) and Director with the team’s overall achievements.

What you have

About

The ideal candidate should have a strong background with statistical analytics techniques and programming skills, excellent communication skills, and knowledge about financial services. The candidate will possess the following qualifications:

  • Master’s degree in a quantitative field requiring heavy use of analytics, such as statistics, economics, finance, financial engineering, applied and computational mathematics, operations research, engineering, physics, or similar scientific fields, with a minimum of 6 years of quantitative business analytics experience and demonstrated ability to synthesize information from multiple sources and deliver strategic recommendations using predictive analytics; or
  • Bachelor’s degree in a similar quantitative field with a minimum of 9 years of relevant experience.

Additionally, the ideal candidate will possess:

  • Proficiency with Robotic Process Automation tools (experience with UiPath and PowerAutomate is a plus);
  • Proficiency with Tableau, Power Apps, and Microsoft Office Suite, including PowerPoint for data storytelling;
  • Proficiency with SQL, SAS, Python/R for data querying (experience with Alteryx and Big Data platforms is a plus);
  • Strong self-management and excellent communication skills, including presentations and demos;
  • Ability to manage multiple projects and prioritize effectively;
  • Strong problem-solving, analytical, and text mining skills;
  • Adaptability to changing data infrastructure and strong data management knowledge;
  • Understanding of software development lifecycle, governance principles, and documentation;
  • Experience mentoring junior staff.

What’s in it for you

At Schwab, we’re committed to empowering our employees’ personal and professional success. We offer a supportive culture, focus on development, and a flexible hybrid work environment. Our benefits include:

  • 401(k) with company match and Employee stock purchase plan
  • Paid vacation, volunteering, and 28-day sabbatical after 5 years of service
  • Paid parental leave and family benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Research, Analyst, and Information Technology

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