Liquidity Risk Associate

Sumitomo Mitsui Banking Corporation•New York, NY

1d•$90,000 - $135,000•Hybrid

About The Position

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges. In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network. The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd. The anticipated salary range for this role is between $90,000.00 and $135,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees. Role DescriptionCreate risk models leveraging existing bureau, commercial and consumer data, structured and unstructured data, and using statistical, financial, BI and AI techniques. Based on model results, establish thresholds, at-risk levels and exposure limits by product and business. Analyze outcomes and tune models. Create and monitor position reporting to measure risk across units and as an entity. Assist in rebalancing positions to optimize risk and reward.Role Objectives: DeliveryPopulate risk models leveraging existing bureau, commercial and consumer data, structured and unstructured data, and using statistical, financial, BI and AI techniques. Based on model results establish thresholds, at-risk levels, and exposure limits by product and business. Prepare periodic reporting to analyze outcomes and tune models. Prepare position reporting to measure risk across units and as an entity. Highlight exceptions. Prepare reports to measure potential loss across different types of risks (credit, market, liquidity, operational) and sub-components of those risks (concentration, company / industry / sovereign default probabilities, yield, convexity, duration and FX, etc.). Draft analysis to provide management and assessment of risk and business insights.Role Objectives: InterpersonalDevelop relationships with units such as treasury, trading and client-facing functions to better understand the instruments and associated risks in their businesses. Develop relationships with units such as IT to improve data gathering and modeling. Support the unit's work with industry specialists, country risk managers, credit review / analysis staff and relationship managers to evaluate the efficacy of models. Begin to network within the industry through meetings, events and involvement with trade organizations to better understand emerging risk trends and modeling techniques.Role Objectives: ExpertiseDisplay a fundamental understanding of the financial markets and economics to help create a valid set of variables and scenarios. Demonstrate solid modeling skills. Have a basic understanding of information technology and project management to assist in the creation of meaningful modeling and analysis. Exhibit a rudimentary understanding of the risk management systems across the organization to better develop relevant models. Utilize basic data management skills to improve model accuracy. Communicate analytical data effectively.

Requirements

Recommended years of experience: 3

Responsibilities

Create risk models leveraging existing bureau, commercial and consumer data, structured and unstructured data, and using statistical, financial, BI and AI techniques.
Based on model results, establish thresholds, at-risk levels and exposure limits by product and business.
Analyze outcomes and tune models.
Create and monitor position reporting to measure risk across units and as an entity.
Assist in rebalancing positions to optimize risk and reward.
Populate risk models leveraging existing bureau, commercial and consumer data, structured and unstructured data, and using statistical, financial, BI and AI techniques.
Based on model results establish thresholds, at-risk levels, and exposure limits by product and business.
Prepare periodic reporting to analyze outcomes and tune models.
Prepare position reporting to measure risk across units and as an entity.
Highlight exceptions.
Prepare reports to measure potential loss across different types of risks (credit, market, liquidity, operational) and sub-components of those risks (concentration, company / industry / sovereign default probabilities, yield, convexity, duration and FX, etc.).
Draft analysis to provide management and assessment of risk and business insights.
Develop relationships with units such as treasury, trading and client-facing functions to better understand the instruments and associated risks in their businesses.
Develop relationships with units such as IT to improve data gathering and modeling.
Support the unit's work with industry specialists, country risk managers, credit review / analysis staff and relationship managers to evaluate the efficacy of models.
Begin to network within the industry through meetings, events and involvement with trade organizations to better understand emerging risk trends and modeling techniques.
Display a fundamental understanding of the financial markets and economics to help create a valid set of variables and scenarios.
Demonstrate solid modeling skills.
Have a basic understanding of information technology and project management to assist in the creation of meaningful modeling and analysis.
Exhibit a rudimentary understanding of the risk management systems across the organization to better develop relevant models.
Utilize basic data management skills to improve model accuracy.
Communicate analytical data effectively.