Data Solutions - Risk Director

Meytier works with companies across the globe to find top tier talent for their open roles.

At Meytier, we leverage our unique AI & Analytics based smart hiring and talent intelligence technology platform to hire the right people, for the right job, at the right time, using unbiased intelligence that allows companies to do it in an equitable manner. Meytier helps companies hire more qualified diverse candidates and reach their workforce diversity goals. We help candidates level up, represent themselves more effectively, and find opportunities at organizations who are committed to diversity.

Backed by Morgan Stanley as an investor, we are growing fast with our clients across US, UK, and India in Financial Services, Fintech, Software and Professional services from Fortune 500 to VCs and start-ups. Our clients find that our outcomes, technology, and approach is far above what they have seen before.

We’re working with one of the nation’s oldest and largest financial institutions, with $179.2 billion in assets, they rank 15th among banks in the country . Headquartered in Providence, Rhode Island, our client operates in both Consumer Banking and Commercial Banking, with 1,000 branches in 11 states and a broad range of commercial clients.

Key Responsibilities:

• Understanding and evaluating data pipelines which collect process and compute different metrics from various financial sources, adhering to quality and development standards.
• Collaborate with internal and external teams for risk review and partnership for architecture, security, design, and development of robust applications for enterprise platforms
• Monitoring and assessing technology risk within data integration solutions for multiple platforms in the company.
• Collaborating with cross functional team members as necessary and verifying solutions are optimal solutions that meet standards and requirements.
• Provide guidance on technical risk assessment tasks, priorities and responsibilities.
• Work in an Agile environment utilizing the SCRUM methodology.
• Establish and maintain effective relationships with subject matter experts, business partners, and key project stakeholders
• Understanding application architecture / technical design and articulating the data pipeline solutions to team members.

Desired Profile:

Experience providing risk and security oversight for the following data technologies:

• Strong understanding of data governance principles.
• Experience with Python, PySpark, and SQL.
• Experience or knowledge of secure DevSecOps practices and technologies including Jenkins, Bitbucket, Git, Nexus, CI/CD pipeline.
• Experience working with big data and integrated data solutions using public cloud, AWS preferred.
• Experience or knowledge of authentication/authorization oAuth2, PING, SAML, SSO, OpenID, IAM, 2FA, Active Directory and ADFS.
• Experience or knowledge of streaming frameworks/platforms like Kafka, Kinesis, SQS or Storm.
• Technical working experience in data engineering / data transformation / big data and solution architecture / other related.
• Understanding of best practice and design methodology in creating and refactoring APIs and microservices and working with event driven architecture.
• Experience or knowledge of knowledge of front-end frameworks such as Angular, React or Vue.
• Experience with AWS Cloud (S3, Glue, Redshift, etc.).

1. Experience or knowledge of designing, developing, securing and consuming web services.
2. Experience or knowledge of working on Openshift, Docker, Kubernetes, or other container technologies.
3. Experience or knowledge of building highly available and fault tolerant enterprise software
4. Should have worked on Agile scrum or Kanban methodology.
5. Experience with ETL tools such as Datastage, Informatica, Talend etc.
6. Experienced/knowledge in Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala).
7. Bachelor's degree in Computer Science, Computer Engineering or related discipline; A bachelor’s degree or foreign equivalent in Computer Science or a related field.
8. Preferred: Master's degree in Computer Science, Computer Engineering, Software Engineering or related discipline