Ivan Prokofev
Payment Fraud Lead

• Managing payment fraud and reporting operation teams.

• Facilitating closely with product and engineering teams on new features, integrations and implementations.

• Responding for Payment & Fraud Revenue KPIs such as Auth Rate, Chargeback Rate, Refund Rate, Defence rate and etc.

• Maintaining existing dashboards and implementations new one.

• Analysing ongoing fraud and payment trends and changes on payment side.

• Supporting an operation sub team who is focusing on specific regions. Writing rules to reject risky traffic or reroute to review.

• Designing and building recovery workflows and putting relevant monitoring and dashboards in place to review key metrics and any new chargeback trends were missed by Prevention team or ML model.

• Facilitating closely with product and engineering teams on new features implementation. Constantly providing feedbacks about ML performance and the general improvements of fraud detection and prevention.

• Cooperating with senior management to create relevant reporting on the team/department KPI(s).

• Prepared in-depth analysis and strategical outlook related to the payment fraud prevention and recovery products on both main and new verticals.

• Collaborating with 3rd party fraud vendors to improve overall fraud performance.

Detection & Prevention Team:

• Detected and elimination of fraud global and local payments trends;

• Investigated a fraud patterns by analysing big data sets;

• Provided feedbacks about ML performance and the general improvements of fraud detection and prevention.

Recovery:

• Designed and implemented workflows and datasets by using pyspark and oozie from 0 to 5 workflows ;

• Maintained a team's schemas, tables and Git;

• Automated manual operation tasks by using data tools and analysing data. Reduced case time review on 3 min per case ;

• Prepared and visualised team metrics by using Tableau and Rstudio;

• Mentored my colleagues and helped to grow analytical and technical skills from 0 to 5 people use git, python.

•Leaded team’s globalOKR’s and supported personal development plans.

• Managed a team of 4 fraud agents and 3 analysts and coordinated training, decision making and launched successful monitoring across 4 countries.

• Served as a superior decision maker for all fraud concerns and escalations.

• Developed agent's, regional analysts and team's performance reports by using SQL.

• Collaborated with the fraud BI analyst to achieved systems and rules best performance.

• Leaded a fraud systems’ performance.

Released Stakeholder (Development process, version cycles, dependencies).

Investigated accounts that enter the high-risk fraud queue and aim to make accurate decisions on these globally.

Served as decision maker, Identify and remove fraudulent transactions to prevent loss to company.

Delivered training for new employees about fraud prevention.

Managed local RU fraud prevention team (Generate task/ Performance monitoring).

Financial focal point of future releases, manage bugs fix status and estimate currently problems.