Qureos Mentor

Finaira

<div>
 The Senior Agile Coach is a leader responsible for guiding multiple cross-functional teams and the organization in adopting and implementing Agile methodologies and best practices at scale for AI-powered and digital fintech solutions. This role drives organizational change, fosters a culture of continuous improvement, and empowers teams and leaders to deliver value effectively and efficiently
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Develop and execute strategies for Agile adoption and transformation across multiple teams or departments.
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 <li>
 Mentor and coach Scrum Masters, Product Owners, and leadership on advanced Agile principles and practices.
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 Design and facilitate large scale workshops, training programs, and learning sessions to drive agile understanding and adoption across the organization.
 </li>
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 Assess current organizational processes, identify systemic impediments to Agile flow and design solutions that balance agility with regulatory compliance requirements.
 </li>
 <li>
 Guide the organization in implementing Agile practices to optimize value streams and enhance collaboration across teams and establish sustainable delivery cadences.
 </li>
 <li>
 Facilitate organizational-level retrospectives and improvement initiatives.
 </li>
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 Influence stakeholders at all levels to embrace Agile values and principles and support the transformation journey.
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 Foster a community of practice for Agile practitioners within the organization, sharing best practices and promoting knowledge sharing.
 </li>
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 Establish organizational-level agile metrics and maturity assessments to track transformation progress and demonstrate business impact.
 </li>
 <li>
 Create and maintain agile playbooks, templates, and standards that enable consistent practices while allowing team autonomy
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor's degree in a relevant field. Certified Scrum Professional (CSP), Certified Agile Coach (CAC), or equivalent advanced Agile certifications required
 
 
 </li>
 </ul>
 Experience:
 
 
 <ul>
 <li>
 7+ years of experience working in Agile environments, with at least 3+ years as an Agile Coach, leading and coaching multiple teams and driving organizational Agile adoption.
 </li>
 <li>
 Experience in the financial services industry is a significant plus
 
 
 </li>
 </ul>
 Technical Skills:
 
 
 <ul>
 <li>
 Deep understanding of various Agile methodologies (e.g., Scrum, Kanban, Lean, XP) and scaling frameworks (e.g., SAFe, LeSS).
 </li>
 <li>
 Strong familiarity with Agile project management tools (e.g., Jira, Azure DevOps) including: Organizational-level configuration and governance. &squf; Cross-team workflow design and portfolio management. &squf; Metrics dashboards and transformation tracking.
 </li>
 <li>
 Expert knowledge in software development processes and Agile engineering practices. o Understanding of organizational change management frameworks and maturity models.
 </li>
 <li>
 Knowledge of financial services regulatory requirements and how they impact agile delivery.
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Soft Skills: o Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
</div>

Senior Agile Coach

<div>
 
 The Agile Coach guides cross-functional teams in adopting and implementing Agile methodologies and best practices for AI-powered and digital fintech solutions. This role focuses on team-level coaching, training, and process improvement, assessing team maturity, facilitating adoption of agile practices, and empowering teams to deliver value effectively in a fastpaced environment.
 
 
 
 The difference you will make:
 
 
 <ul>
 <li>
 Provide training and coaching to teams and individuals on Agile principles and practices (e.g., Scrum, Kanban).
 </li>
 <li>
 Mentor Scrum Masters, Product Owners, and Engineering team members in their roles.
 </li>
 <li>
 Facilitate workshops and sessions to enhance understanding and application of Agile concepts.
 </li>
 <li>
 Assess current team processes and identify areas for improvement.
 </li>
 <li>
 Guide teams in implementing Agile practices to optimize workflows and collaboration.
 </li>
 <li>
 Support Scrum Masters in facilitating effective retrospectives and coach teams on continuous improvement techniques.
 </li>
 <li>
 Assess team agile maturity and create tailored coaching plans to address specific team needs and gaps.
 </li>
 <li>
 Collaborate with Senior Scrum Masters and leadership to identify systemic process improvements and organizational impediments.
 </li>
 </ul>
 
 Requirements
 
 
 
 What you will bring to the role:
 
 
 
 
 
 
 
 
 
 
 Education:
 
 Bachelor's degree in a relevant field. Certified Scrum Master (CSM) or equivalent certification required.
 
 
 
 Experience:
 
 4+ years of experience working in Agile environments, with at least 1-2 years as an Agile Coach or facilitating Agile teams. Experience in the financial services industry is a plus.
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Solid understanding of Agile methodologies (e.g., Scrum, Kanban, Lean) and when to apply each. o Working knowledge of agile scaling frameworks
 </li>
 <li>
 Strong proficiency with Agile project management tools (e.g., Jira, Azure DevOps) to coach teams on effective usage
 </li>
 <li>
 Deep knowledge of software development lifecycle, including modern engineering practices (e.g. TDD, BDD, CI/CD, code review practices)
 </li>
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 Understanding of AI/ML development workflows and how agile practices adapt for data science teams
 </li>
 <li>
 Familiarity with team assessment frameworks and maturity models
 </li>
 <li>
 Awareness of security and compliance requirements in regulated financial services
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work
 </li>
 <li>
 Clear and professional verbal and written communication
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment
 </li>
 <li>
 Strong attention to detail and a commitment to quality
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
 
 
 
 
 .
 
</div>

Agile Coach

<div>
 
 The Software Engineer I will contribute to the development, testing, and deployment of high-quality software solutions under the guidance of senior team members. This role involves learning and applying software development principles and technologies within the context of AI and digital FinTech initiatives.
 
 
 
 
 
 
 The difference you will make:
 
 
 <ul>
 <li>
 Assist in designing, developing, and implementing software solutions.
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 <li>
 Assist in API development for integrating ML models
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 Write clean, efficient, and well-documented code under supervision.
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 Participate in code reviews to learn and ensure quality.
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 Learn and apply basic software design patterns and best practices.
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 Write and execute unit tests and assist with other testing strategies.
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 Debug and resolve software defects with guidance.
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 Assist in deploying software applications to various environments.
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 Collaborate closely with Data Scientists and Products Managers ,and communicate technical findings clearly.
 </li>
 </ul>
 
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer science, Software Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 0-3 years of experience, including internships or academic projects. Experience in the financial services industry is a plus.
 </li>
 </ul>
 
 
 
 
 Technical Skills:
 
 <ul>
 <li>
 Basic proficiency in one or more programming languages (e.g., Java, Python, Go, JavaScript).
 </li>
 <li>
 Basic knowledge of software development frameworks (e.g., Spring, Django, React).
 </li>
 <li>
 Basic knowledge of software testing tools and methodologies (e.g., JUnit, Pytest)
 </li>
 <li>
 Basic experience with databases (SQL).
 </li>
 <li>
 Understanding basic software design principles.
 </li>
 <li>
 Familiarity with version control systems (e.g., Git).
 </li>
 <li>
 Familiarity with agile software development.
 </li>
 <li>
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work
 </li>
 <li>
 Excellent communication, interpersonal, and conflict resolution skills.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills
 </li>
 <li>
 Ability to work independently and collaborate with teams within and across functions
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
</div>

Software Engineer I

<div>The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
The difference you will make:<ul><li>
Define the technical data science strategy and roadmap.</li><li>
Lead the research and development of cutting-edge AI solutions.</li><li>
Evaluate and implement new data science technologies and platforms.</li><li>
Provide technical leadership and guidance to the data science team.</li><li>
Ensure the scalability and reliability of data science infrastructure.</li></ul> 

Requirements 
Education:
<ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.</li></ul>
Experience:<ul><li>
8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.</li><li>
Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
</li><li>Proven experience in leading and mentoring data science teams.
</li><li>A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)</li></ul>
Technical Skills:
<ul><li>Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.</li><li>
Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.</li><li>
Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.</li><li>
Deep understanding of Data and AI governance frameworks and requirements.
</li><li>Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
</li><li>Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.</li><li>
Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
</li><li>Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
</li><li>Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
</li><li>Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.</li></ul>
Soft Skills:<ul><li>
Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently, collaborate effectively and mentor junior team members.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Principal Data Scientist

<div>The Data Scientist 2 will independently design, develop, and deploy AI and machine learning models to address complex business challenges within the financial sector. This role requires a strong understanding of data science methodologies, proficiency in relevant tools and technologies, and the ability to translate business needs into effective analytical solutions.
The Data Scientist 2 will collaborate with cross-functional teams and communicate findings with increasing independence.
The difference you will make:<ul><li>Project contributions, model development &amp; refinement, and mentorship.</li><li>Lead specific modules or components within larger data science projects.</li><li>Develop and optimize existing machine learning models for improved performance</li><li>Conduct in-depth data analysis and interpretation to identify actionable insights for banking applications</li><li>Mentor junior data scientists on technical best practices.</li><li>Collaborate with cross-functional teams to integrate models into business processes.</li></ul> 
Requirements 
Education:
Bachelor&rsquo;s degree in Data Science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
Experience: 0-3 years of experience, including internships or academic projects. Experience in the financial services industry is a plus.
Technical Skills: o Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript).
Basic knowledge of software development frameworks (e.g., Spring, Django, React).
Basic experience with databases (SQL).
Understanding basic software design principles.
Familiarity with version control systems (e.g., Git).
Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus. &bull;
Soft Skills:
Developing problem-solving and analytical skills.
Ability to work independently and as part of a team.
Developing communication and collaboration skills.
Attention to detail and a willingness to learn.
Customer-centric approach to understanding needs.
Team player.
Developing a disciplined work ethic.
Good command of English language, both verbal and written.
Self-learner with a positive attitude</div>

Data Scientist II

<div>
 The Data Scientist 2 will independently design, develop, and deploy AI and machine learning models to address complex business challenges within the financial sector. This role requires a strong understanding of data science methodologies, proficiency in relevant tools and technologies, and the ability to translate business needs into effective analytical solutions.
 
 
 The Data Scientist 2 will collaborate with cross-functional teams and communicate findings with increasing independence.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Project contributions, model development &amp; refinement, and mentorship
 </li>
 <li>
 Lead specific modules or components within larger data science projects
 </li>
 <li>
 Develop and optimize existing machine learning models for improved performance
 </li>
 <li>
 Conduct in-depth data analysis and interpretation to identify actionable insights for banking applications
 </li>
 <li>
 Mentor junior data scientists on technical best practices
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into business processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education:
 
 
 
 Bachelor's degree in Data Science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
 
 
 
 Experience:
 
 0-3 years of experience, including internships or academic projects. Experience in the financial services industry is a plus.
 
 
 
 Technical Skills:
 
 o Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript).
 
 
 Basic knowledge of software development frameworks (e.g., Spring, Django, React).
 
 
 Basic experience with databases (SQL).
 
 
 Understanding basic software design principles.
 
 
 Familiarity with version control systems (e.g., Git).
 
 
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
 
 
 <li>
 
 
 </li>
 
 Soft Skills:
 
 
 
 Developing problem-solving and analytical skills.
 
 
 Ability to work independently and as part of a team.
 
 
 Developing communication and collaboration skills.
 
 
 Attention to detail and a willingness to learn.
 
 
 Customer-centric approach to understanding needs.
 
 
 Team player.
 
 
 Developing a disciplined work ethic.
 
 
 Good command of English language, both verbal and written.
 
 
 Self-learner with a positive attitude
</div>

Join Finaira and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Finaira

About Company

Senior Agile Coach

Agile Coach

Software Engineer I

Principal Data Scientist

Data Scientist II

Data Scientist II