Business Data Analyst Job at SMBC Group, Jersey City, NJ

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  • SMBC Group
  • Jersey City, NJ

Job Description

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 $65,000.00 and $80,000.00. 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 Description

Within the Business Control Department America's Division - Anti-Fraud Operations (BCDAD AFO), the team is responsible for the first-level disposition of potentially fraudulent transactions. The team monitors corporate bank accounts, financial transactions, money transfers (CHIPS, FED, SWIFT, and ACH), Cash Management Services (CMS) account records, and other financial data to identify fraudulent activity. Additionally, the team manages and refines transaction policy rules and scoring within the NICE Actimize Integrated Fraud Management (IFM-X) solution to enhance fraud detection efficiency.

The Data Analyst plays a critical role in supporting the team by leveraging data analytics to optimize fraud detection models, track key performance metrics, and identify data quality issues. This includes analyzing fraud model performance, recommending policy adjustments, conducting volumetric testing, and assisting in User Acceptance Testing (UAT) for system upgrades. The analyst will develop a strong understanding of fraud detection workflows, participate in process improvement efforts, and support both day-to-day operations and longer-term initiatives.

Responsibilities

  • Conduct analytics on Wire/ACH transactions flagged for fraud screening.
  • Analyze policy rules and scoring, recommending adjustments based on performance metrics and confirmed frauds.
  • Prepare executive-ready presentations and reports, incorporating key findings and insights for quarterly anti-fraud working groups, using clear visual artifacts.
  • Monitor data quality issues in daily reconciliation reports and escalate to senior management or AD Tech personnel as needed.
  • Support User Acceptance Testing (UAT) in the Release Test environment, testing model changes and significant upgrades. Be prepared to run tests in the UAT/REL environments when required.
  • Tune the fraud model by adjusting key indicators, thresholds, weights, and system configurations.
  • Apply volumetric testing methodologies to compare fraud models and assess performance.
  • Identify opportunities for automation, process transparency, and business process enhancements.
  • Conduct ad hoc analyses as required.

Qualifications And Skills

  • Basic knowledge of Anti-fraud Methodologies.
  • Experience with Actimize IFM-X (preferred)
  • Strong data analysis skills to identify trends, patterns, and anomalies
  • Ability to interpret and present analytical findings to stakeholders
  • Attention to detail in examining transaction data for fraud detection
  • Strong interpersonal skills with the ability to make formal presentations
  • Advanced proficiency in Microsoft Excel (VLOOKUP, pivot tables, charts)
  • Experience with SQL (MySQL, SQL, Oracle SQL) for data extraction and analysis
  • Knowledge of database management
  • Experience with business intelligence and visualization tools (Tableau, Power BI)
  • Ability to work under time-sensitive conditions with accuracy and accountability
  • Work Experience: 0 to 2 years’ experience as a data analyst in data extraction, data manipulation, data wrangling, data modeling, statistics, data reporting, data governance and data visualization.
  • Education: BS/MS (Computer Science/ Information Systems)

Additional Requirements

SMBC’s employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

Job Tags

Work experience placement, Local area, Worldwide, Work visa,

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