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Company

Original Job Post

Bank of America · 3 days ago

Cons Prod Strategy Mgr I

New York, NY

Full-time

Onsite

Senior Level

7+ years exp

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Asset ManagementBanking

H1B Sponsorship

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Responsibilities

Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance

Supports department-wide strategies and portfolio trend analysis, forecasting, and risk/control performance

Leads innovation by identifying and championing large scale initiatives that improve the risk management, profitability, and control oversight of risks for the business unit

Identifies business trends based on economic and portfolio conditions and communicates findings to senior management

Coaches employees on best practices for structuring complex problems, performing analysis, and communicating the results and implications of their work

Maintains strategic relationships with peers and counterparts across product, technology, and business control functions

Team Leadership and Collaboration: Lead a team of fraud analysts and investigators, providing guidance and expertise on complex fraud cases. Work closely with compliance, legal, risk management, and other relevant departments to align fraud management efforts with organizational goals. Conduct training sessions and workshops to educate staff on fraud detection techniques and policies.

Identify process improvements and efficiencies via data analysis

Deliver accurate metrics related to fraud and claim activity. Validate the integrity and quality of data required for performing analysis

Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLSASData AnalyticsFraud DetectionSAS Fraud ManagementUser-Defined VariablesProblem-SolvingHard WorkingOrganizationalProject ManagementCommunicationPythonRJavaHiveHueTableauHadoopSparkData analysisReg EEWS mandatesScam liabilityJIRADatabase managementData warehousingWinSCPPuttyUNIXSAS E-miner

Required

Advanced to expert level in SQL and SAS

Minimum 7 years of work experience in large financial institution with specialization in data analytics

Minimum 3 years of fraud experience in digital products (Zelle, Wires, ACH, Billpay)

Expertise in fraud detection and management platforms, specifically SAS Fraud Management and creation of user-defined variables for rule development

Ability to work in a fast-paced, dynamic environment is critical

Must have exceptional organizational, project management, and communications skills

Preferred

Familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue

Proven track record of building and deploying analytical solutions that have resulted in material financial results

Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds

Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes

Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)

Proven strong analytical and communication skills

Generate detailed reports and dashboards in Tableau

Usage of Big Data technologies such as Hadoop, Spark, or similar

Knowledge of regulation like Reg E, EWS mandates, and Scam liability

Working knowledge of change management tools (JIRA) and documentation. Strong understanding of database management systems and data warehousing. Working knowledge of using WinSCP/Putty and UNIX

Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity

Usage of Big Data technologies such as Hadoop, Spark, or similar

Bachelors degree preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance, or business

Company

Bank of America

Glassdoor

3.9

Bank of America is a financial institution that offers credit cards, home loans, and auto loan services.

Founded in 2007

Charlotte, North Carolina, USA

10,001+ employees

https://www.bankofamerica.com

H1B Sponsorship

Bank of America has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2023 (422)

2022 (766)

2021 (728)

2020 (930)