Associate - Quantitative Risk Management Officer

Quantitative Risk Management Officer - Model Risk Management
Undertake reviews and analysis across the portfolio for Market Risk. Undertake development or validation on classic quantitative models (investment risk, VaR, product pricing, etc)

Key Responsibilities and Duties

• Market Risk Model Management
• Model Development and Validation
• Model Risk Assessment and Governance

Educational Requirements

• University (Degree) Preferred

Work Experience

• 3+ Years Required; 5+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
7IC

Position Summary: 

The primary purpose of the role is to manage a team of associates who provide data and analytics services to support the key functions of the Financial Risk Modeling and Management (FRMM) team. These key functions include dynamic asset allocation, the measurement of capital at risk and the oversight of the firm’s Asset Liability Management (ALM) and Interest Rate Risk Management.

The incumbent should be a self starter who takes the accountability and ownership of not only overseeing the performance of the team but is also willing to work independently whilst exhibiting highest level of professionalism and ethics. The incumbent should have the necessary coding and statistical knowledge and experience to guide the direct reports to complete projects and liase with the team in the U.S.

Key Duties & Responsibilities: 

• Provides guidance and counsel for the design, implementation and success of the modeling projects required by FRMM.
• Coordinates & collaborates with the team in the U.S.
• Manages performance of team through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation and development of team.
• Demonstrated people leadership and management expertise to team of. Also, helps coach, review and delegate work to lower level team members.
• Works independently & under general supervision, utilizing tools and metrics for statistical data analysis and model validation processes that monitor and attempt to combat risk across the enterprise, as well as assist in developing strategies and processes to limit exposure to outcomes that could impede business operations.
• Provides assistance for data aggregation and analysis in support of existing and developing models.
• Recommends technology-based tools and product enhancement to perform statistical data analysis more efficiently and accurately.
• Has the necessary coding and statistical knowledge and experience to guide the direct reports to complete projects and liase with the team in the U.S.

Problem Solving: 

The nature of the role requires the incumbent to posses strong management skills as well as analytic and quantitative skills and a proven ability to communicate effectively with a range of risk and business stakeholders.

Functional Knowledge: 

• In-depth knowledge of quantitative analytics and statistical modeling.
• Coding knowledge in Python, SQL, R, Matlab
• Financial market knowledge – knowledge of equity markets, bond markets, credit spreads and ratings
• Familiarity with fixed income pricing and equity pricing analytics

Interactions / Interpersonal Skills: 

• Ability to work well with others
• Ability to work with deadlines and inconsistent information
• Communicate clearly over Zoom

Required Education:

Bachelors in Commerce

Specialization in Statistics, Finance, Mathematics, Engineering or the Physical Sciences

Preferred Education:

CFA, CA, Master's degree in Applied Mathematics / Statistics / Computer Science/ Physics / Engineering, Quant Finance or related field

Required Experience:

7+ years

Skills and Abilities:

• Understanding of Financial risk including credit risk, market risk, investment risk and valuation and model risk amongst others
• Previous experience working in a Investment Banking, Broker-Dealer, Asset Management and/or Insurance firm desired
• Proficiency in Python, SQL, R, MATLAB, MS tools, or equivalent tools
• Knowledge of Capital Markets
• Proficiency in Mathematics and Statistics
• Experience in  Banking and Financial Services preferred
• Able to demonstrate strong problem solving, analytical mindset, communication, and people management skills.
• Good knowledge of Technology, Risk Tools
• Good knowledge on Risk / Reward analysis

Related Skills

Advanced Mathematics, Communication, Critical Thinking, Data Analysis, Financial Acumen, Financial Modeling, Market/Industry Dynamics, Model Validation, Prioritizes Effectively, Problem Solving, Programming, Quantitative Analysis, Statistics

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Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

 
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.

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If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: 

Phone: (800) 842-2755

Email: accessibility.support@tiaa.org

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