Fraud Strategy Manager / hire

Hiring on behalf of a client for the role of

Fraud Strategy Manager / Full time hire

Location : NYC, Jersey City (3 - 4 days/week in office) (Open for Remote, if can join urgently)

In this role, you will be involved in the First Party Fraud / Credit Abuse Strategy team for a leading US bank focusing on end-to-end delivery of analysis and seamless execution by collaborating with cross-functional teams. You will get an opportunity to derive insights from large complex datasets and impact business decisions through data-based findings.

Responsibilities

• Design & Implement data driven First Party Fraud/ synthetic frauds strategies, credit abuse.

• Generate and automate regular reports and dashboards for fraud-related KPIs, offering actionable insights for Senior management.

• Analyze transaction data and customer behavior to identify early warning signs of fraud and proactively address vulnerabilities.

• Identification of potential check and deposits fraud - activity related to checks, such as forged checks, counterfeit checks

• Independently address complex problems and share insights from data analysis that integrate with initial hypothesis and business objective

• Comfortable working with large datasets, including managing large number of data sources, analyzing data quality, and pro-actively working with client's data/ IT teams to resolve issues

• Reformulate highly technical information into concise business presentations

• Create presentations and reports based on recommendations and findings

Basic Qualifications

• Bachelor's or master's degree in mathematics, statistics, economics, computer engineering or analytics related field

• 4+ years of consulting, analytics delivery experience in Fraud, Disputes, operations and exposure to credit card & retail banking domains


• Hands-on experience with SAS/SQL and Microsoft Office

• Excellent communication, presentation and story building skills

• Strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day complex customer problems

Desired Qualifications

• Ability to adapt to emerging analytic tools and solutions into standard operating procedures

• Knowledge of basic machine learning algorithms like decision trees, regression models and clustering

• Expertise in fraud application loss mitigation on cards portfolio

About

In the perfect storm of technology forces shaping the business world, the question is not whether companies need to adapt to stay competitive but which tech partner to trust for long-term business improvement and transformation needs.

That's why iShare was founded: to be that credible IT partner that cuts through the buzzword clutter to deliver real value by real people. And that starts with doing the basics right.

Who We Are

Based in New Jersey, iShare is a boutique IT consulting firm with strategic advisory, development, and staffing services designed for specific industry verticals. iShare was founded to fill a real market need - with so much noise about cloud, big data, and information security, companies today are adopting software product after product and losing sight of which they need and why, while what they really need is credible consulting that takes the time to understand their company's unique scenario and requirement, and then architect a solution accordingly.

Recognizing this gap, senior industry executives put their credibility on the line to form iShare and ensure they create a fulfilling experience with lasting value for all stakeholders - customers, employees and partners. iShare leadership team has 20+ years average IT experience and is well-rounded in technology, operations, account and customer management. Our experience spans C-Suite positions with Fortune 100 firms as well as mid-tier firms. Our background includes stints at multibillion-dollar ITO / BPO firms as well as startups.