• Monitoring clinical trial sites to ensure adherence to study protocols, regulatory requirements, and Good Clinical Practice (GCP) standards. • Conducting site visits to assess site performance, resolve issues, and provide support to ensure successful trial execution. • Collaborating with cross-functional teams to ensure timely and accurate data collection and reporting. • Providing training and guidance to site staff and other CRAs to maintain high standards of clinical trial conduct. • Building and maintaining effective relationships with site personnel and stakeholders to facilitate smooth trial operations.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Responsible for the development of highly sophisticated alpha-generating models with a focus on: - Asset allocation - Portfolio optimization - Security selection Additional responsibilities include: - Participating in the idea generation process - Interacting with Portfolio Managers and other asset management team members to understand macroeconomic and risk management issues - Improving existing models and processes - Applying concepts such as effective duration, OAS, spread duration, effective convexity, yield measures, beta, and tracking error - Working with fixed-income derivatives such as futures, credit default swaps, interest rate swaps, swaptions, bond and futures options - Developing interactive web dashboards tools for performance monitoring and attribution - Working on the development of machine learning models for portfolio selection and optimization problems Telecommuting permitted. Qualifications - Master’s degree or foreign equivalent in Finance, Quantitative and Computational Finance, or a closely related quantitative field - Two (2) years of experience as a Financial Analyst, Quantitative Research Analyst, or a related position Requirements - Applying quantitative techniques in financial mathematics, applied mathematics, and statistics to solve forecasting risk measurement and management problems - Utilizing Python, SQL, and Databricks for agile programming and software development - Conducting financial, statistical, and quantitative analysis and modeling projects - Working with fixed-income derivatives including futures, credit default swaps, interest rate swaps, swaptions, bond and future options - Developing interactive dash or Shiny web applications for Portfolio Management and Performance analysis - Developing machine learning and advanced optimization models for model portfolios Benefits - Health, dental, vision, and life insurance plans - 401(k) Savings plan – with generous company matching contributions (up to 6%) - Voya Retirement Plan – employer paid cash balance retirement plan (4%) - Tuition reimbursement up to $5,250/year - Paid time off – including 20 days paid time off, nine paid company holidays, and a flexible Diversity Celebration Day - Paid volunteer time — 40 hours per calendar year Critical Skills - Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations - Critical Thinking: Thoughtful process of analyzing data and problem solving to reach a well-reasoned solution - Team Mentality: Partnering effectively to drive our culture and execute on our common goals - Business Acumen: Appreciation and understanding of the financial services industry to make sound business decisions - Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage Equal Employment Opportunity Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law. Reasonable Accommodations Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

• Collaborate with NASA project mentors and technical teams to define AIML problem statements, success metrics, and validation plans. • Develop and evaluate ML models (e.g., regression/classification, time series, anomaly detection, NLP, computer vision—based on project needs). • Build reproducible data pipelines for ingestion, cleaning, feature engineering, labeling, and dataset versioning. • Prototype and deliver proof-of-concept tools (scripts, notebooks, small applications, dashboards, or APIs) that can be transitioned to the mentor team. • Apply sound practices for experimentation: baselines, ablation studies, cross-validation, and uncertainty/error analysis. • Document methods, assumptions, limitations, and recommendations in clear technical writeups. • Contribute to best practices for trustworthy/robust ML (data leakage prevention, bias checks, model monitoring considerations, and traceability). • Participate in AiTHENA technical exchanges, demos, and closeout deliverables.

• Conduct site monitoring for clinical trials • Provide oversight and guidance for clinical trial management • Collaborate with cross-functional teams to ensure protocol compliance