At a Glance
- Tasks: Drive client revenue optimisation and enhance analytical tools for Visa's Managed Solutions.
- Company: Join Visa, a global leader in payments and technology, connecting the world through secure transactions.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a meaningful impact in a purpose-driven company while working with innovative technologies.
- Qualifications: 5+ years of experience or advanced degree; proficiency in programming and data analysis required.
- Other info: Visa promotes diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
- Consulting Expertise: Drives client revenue optimization by leveraging relationships and strategies that align with Managed Solutions goals, automation, and retention objectives. Regularly discusses and pursues client goals, demonstrating an understanding in clients' evolving business strategies. Builds rapport with both the client and the Visa account team to promote retention. Proactively learns how to leverage complementary Visa products and offerings, stays current on releases, and is proactive in learning how to leverage updates and enhancements for Visa and client success. Anticipates fluctuations and proactively identifies anomalies with business relationships and collaborates internally to stay ahead of competitive risk.
- Analysis: Increases automation by leveraging internal features and available client attributes. Aligns acceptance and fraud KPIs with Managed Solutions objectives. Uses Business Intelligence tools to continually highlight client return on investment. Processes ad hoc requests and uses existing functionality to accomplish goals. Contributes to the continual enhancement of analytical tools.
- Solutions Delivery: Optimizes client acceptance through increased automation, the use of machine-learning models, and efficient creation and use of rules. Identifies and influences clients and internal business partners to explore Managed Solutions and complementary Visa product offerings. Communicates consistently with internal partners on the status of portfolio, at-risk/retention scenarios, upsell opportunities, etc. Remains proficient in Visa and partner integrations, order and technical flow, and support resources. Shares industry best practices within region. Understands how client strategies and risk configurations potentially impact Visa revenue.
- Communication and Presentation Skills: Communicates professionally, succinctly, independently, and with relevance based on audience and topic. Engages with colleagues and clients regularly to align common ideas and goals through effective communication, demonstrating a passion for the business, and being accountable. Shares efficiencies and best practices with colleagues and peers.
- Industry Knowledge: Builds industry knowledge through internal and external resources. Confidently consults clients on industry trends and innovations and educates clients on how payment ecosystems work. Understands regional risk regulations. Uses knowledge of competitive landscape to shape solutions delivery.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
- Basic Qualifications: 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD.
- Preferred Qualifications: 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.
- Relevant work experience: Collaborating on and with enterprise-wide products, projects, and programs. Deriving insights and action items through analysis. Providing Solutions Delivery/professional services. Proficiency in Microsoft 365 (Office). Exceptional presentation, consultative, and communication skills. Proficient in Python, Java, or another major programming language, with a focus on data analysis, machine learning, or algorithm development. Skilled in using SQL for data analysis. Hands-on experience in handling and mining large, diverse data sets. Demonstrated experience working with or fine-tuning machine learning models in fast-paced, real-time prediction environments.
Required languages: English.
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Senior Risk Analyst, Risk Solutions employer: Visa
Contact Detail:
Visa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Risk Analyst, Risk Solutions
✨Tip Number 1
Familiarise yourself with Visa's products and services. Understanding how their payment solutions work will not only help you in interviews but also demonstrate your genuine interest in the company and its mission.
✨Tip Number 2
Network with current or former employees of Visa, especially those in risk analysis or related fields. They can provide valuable insights into the company culture and the specific skills that are highly valued in this role.
✨Tip Number 3
Stay updated on industry trends and regulations related to payments and risk management. Being knowledgeable about the competitive landscape will allow you to speak confidently about how you can contribute to Visa's success.
✨Tip Number 4
Prepare to discuss your experience with data analysis and machine learning during the interview. Be ready to share specific examples of how you've used these skills to drive results in previous roles.
We think you need these skills to ace Senior Risk Analyst, Risk Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in risk analysis, client management, and data analysis. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the payments industry and how your skills align with Visa's mission. Mention specific experiences that showcase your ability to drive client revenue optimization and your understanding of industry trends.
Showcase Technical Skills: Emphasise your proficiency in programming languages like Python or Java, and your experience with SQL and machine learning models. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Highlight Communication Abilities: Since the role requires strong communication skills, include examples of how you've effectively communicated complex ideas to clients or colleagues. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Visa
✨Showcase Your Analytical Skills
As a Senior Risk Analyst, you'll need to demonstrate your ability to analyse data effectively. Be prepared to discuss specific examples of how you've used data analysis tools, like SQL or Python, to derive insights and drive decisions in previous roles.
✨Understand Visa's Business Model
Familiarise yourself with Visa's payment ecosystem and how it operates globally. Understanding their mission and how they optimise client revenue will help you align your answers with their goals during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you've identified anomalies or optimised processes, and be ready to explain your thought process and outcomes.
✨Demonstrate Strong Communication Skills
Effective communication is key in this role. Practice articulating complex ideas clearly and succinctly. Be ready to showcase how you've successfully engaged with clients and colleagues to achieve common goals in your previous positions.