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A leading fintech company, is looking for a talented and self-driven Payments Analyst with excellent interpersonal and problem-solving skills.
This role is pivotal in providing in-depth insights into inbound and outbound customer payment processes while optimizing performance and costs.
Responsibilities:
Analyze the performance and cost of payment providers and recommend action plans to management
Create financial models for data-oriented decision support
Perform periodical operational metrics tracking and ad hoc reporting
Recommend actions by making comparative analyses of existing setups and proposed changes
Evaluate financial performance by analyzing actual results vs. forecasts
Communicate with payment providers, Back Office, and Finance teams to ensure accurate reporting
Increase productivity by developing automated reporting/forecasting tools.

Required Anti Fraud Operator
Description
As an Anti-Fraud Operator at our trading online platform, you will play a crucial role in safeguarding our platform from fraudulent activities. Your responsibilities will involve monitoring, detecting, and preventing fraudulent transactions, ensuring compliance with regulatory requirements, and collaborating with various teams to enhance the overall security of our platform.
Responsibilities:
Attending and resolving fraud-related customer queries
Daily checks of fraud-related reports and alerts
Handling customers chargeback claims by representing the cases to the external payment processors
Anti Fraud team protocols review and optimization
Authentication of customer financial and trading activity and processing of withdraws, based on a set of decision-making tools.

We are looking for a principal biostatistician for our global biostatistics and data management team.

As a principal biostatistician, you will lead the statistical aspects of our clinical trials. The role will involve defining and implementing statistical techniques commonly used for oncology clinical trials, working on key department deliverables involving designing and analyzing clinical trials, and leading the statistical aspects for regulatory submissions.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Modeling clinical data with Cox Models, Kaplan-Meier Estimates, competing risks.
Contribute to study design by incorporating adaptive design, superiority and non-inferiority trials, propensity score matching, and conducting meta-analyses.
Contribute to protocol development in conjunction with clinical development and operations teams and responsible for assessing the feasibility of the study endpoints and developing the Statistical Analysis Plan (SAP).
Report the study results in the Clinical Study Report (CSR).
Oversight of the CRO and validate other vendors' statistical activities.
Provide statistical advice and manage statistical aspects of clinical and preclinical projects.
Approve statistical outputs: Table, Listing, and Figures (TLFs) and the analysis datasets produced by the statistical programming team using SAS.
Work within a multidisciplinary team and serve as a point of contact between clinical operation, CRO, and SAS programmers within the statistical department.
Provide statistical input for the study-related documents: study execution plans (including Data Management Plan), eCRF design and Edit Checks specifications, eCRF completion guidelines and data reconciliation plans.
Review SAS coding and specifications.
Other responsibilities as assigned.

We are looking fora an experienced Senior Data Engineer to join the Real World Evidence team.

The Senior Data Engineer will be responsible for building and maintaining the Real-World Evidence data lake and implementing data migration processes with proper structuring and integration. Tasks include parsing EMR resources, developing or configuring tools for efficient data annotation, writing scripts to detect discrepancies, and monitoring data coverage and quality metrics. Additionally, building dashboards to aggregate key data points, assist data annotators in prioritizing and simplifying their work, manage access control security policies, and perform data analytics tasks.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with clinicians, data quality experts, and other stakeholders to understand data requirements and deliver solutions.
Ensure data quality, integrity, and security across all data platforms.
Optimize and improve existing data systems for performance and scalability.
Implement data governance and best practices for data management.
Monitor and troubleshoot data pipeline issues to ensure smooth operations.
Program data validations and quality checks to ensure data integrity.
Define, implement, and review data quality metrics; perform trend analyses; identify and support the resolution of data issues.
Support the interrogation, analytics, and reporting of clinical real-world data.
Support research-specific quality audits and regulatory authority inspections, acting as a subject matter expert.