Head of Data Analytics & Insights, Vice President

Toronto, Ontario, Canada

State Street

State Street provides investment servicing, investment management, investment research and trading services to institutional investors worldwide.

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Who we are looking for

We are looking for the Head of Data Analytics & Insights, Vice President, who will lead the delivery and implementation of analytics data products that support audit planning and execution driving data-based auditing for greater impact and efficiency. As a key component of the strategy for continuous improvement in Corporate Audit, the data analytics & insights team provides analytics-based services and solutions in support of Corporate Audit’s independent risk assessment and assurance work. In addition, the team advises and provides tools, dashboards and analysis that can be leveraged to manage the Corporate Audit Department.

Why this role is important to us

The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for.

What you will be responsible for

As Head of Data Analytics & Insights, Vice President, you will

  • Lead the Audit Data Analytics & Insights team to drive leading practice data-driven auditing and productivity innovation through analytics and automated solutions.
  • Build collaborative relationships with audit colleagues and partners in other lines of defense to effectively advance the use and impact of data analytics to strengthen the company’s risk and control environment.
  • Define and execute a plan to drive continuous auditing using analytics.
  • Manage a professional team of approximately 15 quantitative and data analytics specialists to provide thought leadership and advise Corporate Audit stakeholders on analytical solutions to address assurance needs.
  • Oversee timely execution of audit support and solution development and maintenance to advance insight-driven assurance and visualization of results and quantitative analytics.
  • Manage, coach, develop and inspire colleagues and team members.

What we value

These skills will help you succeed in this role

  • Role model behavior in cross-cultural awareness and ability to connect with colleagues globally in establishing and maintaining a collaborative and inclusive work environment.
  • Strong leadership and execution skills with confidence to gain trust and credibility, and an ability to develop a high performing team by promoting collaboration and innovation at all levels
  • Proven impact through the life cycle from strategic thinking through implementation and measuring success.
  • Experience developing and maintaining relationships with multiple stakeholders, including executives, senior management, stakeholders and team members to drive progress.
  • Strong communication, interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills.
  • Strong project management skills.
  • Strong written and verbal communication, presentation and technical writing skills

Education & Preferred Qualifications

  • 5+ years of managerial experience, with strong track record of leading, coaching, developing and motivating a team of quantitative and data analytics auditors.
  • 5+ years of increasing responsibilities in managing data-based analytical solutions in large financial institutions.
  • 10+ years of analytics and/or reporting development experience using tools or languages such as SAS, SQL, Tableau, R or Python to develop client analytics solutions.
  • Solid understanding of financial risk management practices, processes and controls and regulations on credit risk, counterparty credit, market risk, liquidity risk and operational risk.
  • Experience in machine learning models and big data.
  • Advanced understanding of data processes and controls, associated risks, data governance models
  • Internal Audit experience
  • Proven track record of continuous improvement.
  • Bachelor’s or equivalent degree in related fields such as Economics, Statistics, Data Science, MIS, Finance, Accounting and Financial Engineering.
  • Master’s or equivalent degree in related fields such as Economics, Statistics, Data Science, MIS, Finance, Accounting and Financial Engineering.

About State Street:
 

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Big Data Credit risk Data Analytics Data governance Economics Engineering Finance Machine Learning ML models Python R Research SAS SQL Statistics Tableau

Perks/benefits: Career development

Region: North America
Country: Canada

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