14 hours
  • Job Code
    389
JobTitle: Quantitative Analyst
Job ID: 389
Salary Range: 80510.0- 152250.0
Job Category: Risk Management
Grade Level: 23C, 25D
Employment type: Full-Time
Relocation Available: Yes
Closing Date: Feb 10, 2019
Location: Omaha
Team: Enterprise Modeling

Position Description:

POSITION SUMMARY:

Enterprise Modeling promotes a culture of evidence-based decision making and supports FCSAmericaÂ’s strategic objectives by developing and maintaining analytical solutions that provide insights within the Association and across the Farm Credit System. The Quantitative Analyst will enhance and maintain a comprehensive suite of risk models, including those that assess various aspects of credit-worthiness (e.g., application scorecards, and financial risk ratings), as well as models designed to promote capital management and other portfolio strategies. In addition to risk modeling, the incumbent will support modeling efforts undertaken to provide operational efficiencies, targeted marketing, competitive intelligence, and the like. The Quantitative Analyst will rely on modern and advanced techniques found in statistics, machine learning, quantitative finance and similar fields to help fulfill the teamÂ’s mission.

EMPLOYEES SUPERVISED:

None

DUTIES AND RESPONSIBILTIES:

Key responsibilities include, but are not limited to, the following:

  1. Advancement & Maintenance of Enterprise ModelingÂ’s Work Products
    • Assist in the growth and upkeep of the teamÂ’s comprehensive suite of models for capital management, including the allowance for loan and lease losses, stress testing, economic capital and risk-adjusted return on capital.
    • Promote the teamÂ’s efforts within the Farm Credit System tied to collaborative analytics and data management
    • Aid in the evolution and review of financial risk rating models and internal credit scores
    • Quantify and assess operational and market risks (e.g., interest rate risk) where needed
    • Advance and provide upkeep for collateral valuation models
    • Aid in the progression of analytical work undertaken to help provide operational efficiencies, targeted marketing, competitive intelligence, etc.Lead special studies and ad-hoc analyses as assigned \\
  2. Model Development & Implementation
    • Work with business units to construct new models that support strategic objectives
    • Assess data needs and data quality
    • Gather and transform data from a variety of sources to form datasets suitable for statistical learning
    • Build visualizations for exploration and presentation purposes
    • Provide insights about the derivation and assessment of alternative methodologies
    • Implement solutions in a clean and automated fashion
    • Document model-builds and establish ongoing monitoring/validation processes to support the AssociationÂ’s model risk management policiesPresent results to key parties (often senior leadership) within and outside of the Association. \\
  3. Model Validation and Research
    • Help coordinate updates associated with the businessÂ’s model risk management framework
    • Support the teamÂ’s own model governance efforts by ensuring that documentation is up-to-date and sufficient
    • Generate and conduct model reviews and validation exercises
    • Deliver insights for model improvements
    • Provide maintenance to and generate results from the teamÂ’s published models
    • Promote decision-usefulness by conducting back-end research on results from published modelsLevel 23: Responsible for validating, conducting back-end research, and publishing results on models deemed to have significant financial/strategic impacts to the business; further, develops and implements models considered to pose less financial/strategic risk to the business; manages and facilitates validation and research projects with limited guidance
    • Level 25: Responsible for development and implementation work tied to models deemed to have significant financial/strategic impacts to the business; manages and facilitates development and implementation projects with limited guidance; provides thought leadership and coaching on analytical techniques

JOB SPECIFICATIONS:

Level 23: A bachelorÂ’s degree in an analytical field such as mathematics, statistics, computer sciences, economics, actuarial sciences, or finance is required; however, an advanced degree or relevant certification (e.g., CFA, FRM, FSA/ASA/CERA) is highly preferred. The ideal candidate will have two to five years of experience in quantitative finance, risk modeling, or data sciences.

Level 25: The ideal candidate holds an advanced degree in an analytical field such as mathematics, statistics, computer sciences, economics, actuarial sciences, or finance. Alternatively, the candidate may hold a bachelorÂ’s degree with relevant certification (e.g., CFA, FRM, FSA/ASA/CERA). The ideal candidate will have six to eight years of experience in quantitative finance, risk modeling, or data sciences.

Duties require:

    • Ability to manage large projects from start to finish in a timely and effective manner
    • Teamwork and a strong sense of accountability
    • Ability to analyze, evaluate, and develop solutions to complex problems
    • Solid understanding of capital management practices (i.e., those tied to credit risk)
    • Strong statistical acumen with in-depth knowledge of risk modeling. Experience with statistical programming languages such as R, Python, SAS, etc.
    • Strong computer literacy and proficiency in data querying tools (e.g., SQL, SAS, etc.)
    • Strong written and oral communication skills
    • Strong interpersonal and relationship skills
    • Ability to interpret policy, programs, and regulations
    • A maintained awareness of social, economic, governmental, and environmental forces impacting agriculture
    • Ability to speak and make presentations to individuals or groups on technical subjects related to job
    • Ability to provide sound technical advice to leaders and other staff in the subject field(s) related to this position.

INTERNAL/EXTERNAL CONTACTS:

All levels of Association team members; internal legal counsel; state and federal agencies; FCA; FCC; other Farm Credit entities, commercial lenders, external technology vendors.

MENTAL AND PHYSICAL REQUIREMENTS:

    • Ability to work effectively in a team environment and effectively demonstrate team building attitude and skills.
    • Proficient in Windows environment using Microsoft Word, Excel, and Internet Explorer.
    • Ability to reason, judge, compare, calculate, evaluate and critique such information as written materials, numerical data, responses to customer needs and/or other work related activities.
    • Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job.
    • Ability to understand and explain various subject matter and consult on concepts, programs, terminology and methods.
    • Ability to operate the telephone and respond to calls and in-person inquiries.
    • Ability to move about the office with occasional reaching and bending.
    • Ability to successfully interact with and represent the organization to staff, officers, board members, customers, industry specialists, and the public at all levels.
    • Ability to use a keyboard/calculator/computer. This involves reading the screen and keying/typing information.
    • Ability to use and understand various computer software related to carrying out essential responsibilities of the position.
    • Ability to compose, correct, and edit written, word processed, and typed work.
    • Ability to travel by auto or commercial transportation (up to 10%) to carry out essential responsibilities.

Requirements of the job include the ability to do the work, with or without reasonable accommodations. It is the AssociationsÂ’ policy to make reasonable accommodations for individuals with disabilities. Leadership retains the right to add, subtract or change duties of the position at any time.

This document does not create an employment contract, implied or otherwise, other than \"at will\" employment relationship.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Industry

  • Banking / Finance
Posted: 2019-01-17 Expires: 2019-02-16
Sponsored by:
Farm Credit Services of America Logo
Sponsored by:
Bank of America Logo

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Quantitative Analyst

Farm Credit Services of America
Omaha, NE

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