Job Description

Alternate Locations: Charlotte, NC (North Carolina)

Relocation assistance is not available for this opportunity.

Level: P3

Requisition 65735

About the Company

Lincoln Financial Group, a Fortune 250 company with over 10,000 employees, provides advice and solutions that help empower Americans to take charge of their financial lives with confidence. Our core business areas Life Insurance, Annuities, Retirement Plan Services and Group Protection focus on supporting, preserving and enhancing over 17 million customers lifestyles and retirement outcomes.

Headquartered in Radnor, Pennsylvania, Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE: LNC) and its affiliates. The company had $238 billion in assets under management as of December 31, 2018.

Ranked one of the Best Large Employers in America by Forbes magazine, Lincoln Financial Group makes a serious investment in our employees futures through a broad range of wealth accumulation and protection plans, health and wellness programs, and career development resources designed to help each individual reach their personal and professional goals.

General Purpose of Job

The Consultant, Portfolio and Credit Risk Analytics, Commercial Mortgage Loans will support the development of a commercial mortgage loan (CML) portfolio surveillance and credit risk management framework for Lincoln Financials $15B CML portfolio.

S/he will direct, develop and perform complex data engineering and business intelligence analysis required of these efforts while effectively project planning, communicating findings, and providing recommendations to management as necessary. S/he will analyze business processes, data integrity, and reporting to propose and implement effective changes required for business intelligence quality assurance. S/he will develop Tableau dashboards and engage with Information Technology (IT) business partners as necessary.

Responsibilities

Portfolio and Risk Management

* Manages the newly developed Commercial Mortgage data and reporting framework
* Enables rapid information gathering and presentation for senior level stakeholders.
* Develops dashboards, reports, analytics to meet the needs of the CML team, including benchmarking to external data where applicable.
* Conducts data integrity analysis, including determining and implementing methodology changes, reviewing internal experience, and identifying material trends/changes, and delivering information to key stakeholders (incl. Risk Management and Investments) for use in their processes.
* Supports data analysis, including complex data engineering and dashboard development in partnership with management reporting and data science teams.
* Inventory, review, analyze, document, and clearly communicate all CML reporting through a rigorous and cross-functional data governance process.
* Identifies and directs the implementation of process improvements that significantly improve data quality across the team, department and/or business unit.
* Provides subject matter expertise to team members and applicable internal/external stakeholders on complex assignments/projects for his/her assigned area(s) of responsibility.
* Collaborates with business partners and the broader analytics organization (Advanced Analytics, Business Intelligence, Data Governance) to lead value-driven data insights aligned with the firms strategic priorities.
* Identifies and analyzes complex developments, variances, and trends in financial and business operations then formulates and communicates recommendations to support business initiatives and management decisions.
* Educates and mentors both team members and business partners on Business Intelligence concepts and best practices.
* Ensures data integrity within dashboards and reports and develops procedures for increasing the quality and accuracy of information from multiple data sources.
* Communicates regularly with team members and business stakeholders to gather requirements and champion business analytics.
* Understands vision, goals, and direction of the organization



Experience

* Undergraduate degree in Computer Science, Applied Mathematics, Statistics, Actuarial Science, Economics, or other quantitative major (Minimum Required)
* 3-5+ Years of data analytics and/or reporting experience including development in Tableau. (Required)
* Experience with SQL and/or SAS (Strongly preferred)
* Experience with Excel, Access, PowerPoint, Python, R, Tableau, Java, or C++ (Preferred)
* Commercial real estate and/or asset management experience (Preferred)

This position may be subject to Lincolns Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincolns current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial Group are considered property of Lincoln Financial Group and are not subject to payment of agency fees.

Lincoln Financial Group (LFG) is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex (including pregnancy), age, national origin, disability, sexual orientation, gender identity and expression, veterans status, or genetic information. Applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.

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Nearest Major Market: Charlotte
Job Segment: Data Analyst, Analytics, Credit, Risk Management, Developer, Data, Finance, Management, Technology