Head of Risk Data & Analytics

Job Description Summary

Job Description
Under limited direction with a high level of autonomy, the Head of RJF Risk Data & Analytics will support the technology, platforms, data and analytics of RJF Risk Management across all financial and non-financial risk stripes. Drive development of critical analytics used in day to day risk management in conjunction with Risk Stripe Leads and Segment Chief Risk Officers. Define risk technology infrastructure, data and tooling strategy in order to effectively identify, measure, monitor, control and report on risks on a timely and accurate basis. Recruit, train and lead teams responsible for working with RJF Risk stakeholders and Technology to design and implement enterprise-level risk platform solutions with significant business impact to multiple Raymond James’ subsidiaries. Reporting to the SVP of Risk Data & Analytics, this leader will regularly interact with federal and state regulators, Compliance, Audit, business unit executives, Raymond James enterprise technology functions and stakeholders across RJF Risk Management. Completes assignments with substantial latitude for autonomous actions or decisions.

Job Description

Essential Duties and Responsibilities

• Establish RJF Risk’s systems and data solutions to align with changing regulatory and business environments in an effort to minimize the firm’s risk exposure while balancing business concerns.

• Develop and maintain advanced risk analytics solutions to assess exposures in market, credit, collateral, and liquidity risk management. Work closely with risk and business teams to enhance methodologies for risk measurement and monitoring.

• Oversee the design, construction, and maintenance of dynamic data visualization tools and reports providing real-time insights into risk trends, including ad hoc reporting

• Lead the evaluation, replacement, selection, and implementation of vendor tooling across Risk (Financial and Non-financial), in partnership with RJF Technology

• Collaborate with key stakeholders to understand data and reporting requirements and serve as an executor on designing and building high-quality data solutions, including detailed end-to-end documentation of solution.

• Develop a deep understanding of Raymond James Financial’s technology stack including, but not limited to data sources and storage, systems/data architecture, vendor tools, and the orchestration opportunities across the broader Risk technology ecosystem. 

• Implement a comprehensive risk data strategy that ensures high-quality, consistent, and well-governed data across the risk organization.

• Ensure accurate and timely regulatory risk reporting and interface with regulatory bodies on data-related matters as required.

• Service provider approach that fosters collaboration and demonstrates a team player mentality

• Recruits, trains, mentors and manages staff, identifies training needs and creates development plans.

• Other projects and duties as assigned.

Knowledge of

• Federal Reserve, OCC, FINRA, SEC, and other relevant regulatory guidance

• Experienced in the implementation of new technologies and systems to enhance risk management capabilities.  Toolsets could include: Python, (Pandas, statsmodel, plotly etc.) SQL, Alteryx, Qlik, Tableau, Domo, PowerBI, Github, Data Build Tool (dbt), Model Op, Snowflake, Azure, AWS, Redshift, Confluence, Azure DevOps

• Financial markets, products, financial advisory function, and investment process.

• Experienced in facilitating cross-functional collaboration to ensure alignment of risk management objectives with overall business goals.

• Experience providing requirements to technical teams (e.g., developers, program managers, data analysts, etc.) tasked with delivering RJF Risk technology transformation initiatives.*

• Concepts, principles, and best practices of agile project/program management.

Skill in

• Preparing and delivering clear, effective, and professional presentations.

• Demonstrating strong communication skills in all aspects of role that influence individuals outside of his or her span of control.

• Articulating technical concepts in a way that is widely consumable and understood by non-technologists and senior leaders

• Operating standard office equipment and using required software applications to produce correspondence, reports, electronic communication, spreadsheets, and databases.

• Strong analytical and problem-solving skills, and experience multitasking and managing multiple projects and short timelines.

Ability to

• Channel a