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We are looking for a BI Analyst to join our community!

As a BI Analyst, you will play a key role in transforming data into actionable insights that support strategic and operational decision-making across the company. Youll work closely with stakeholders from various departments to understand business needs, translate them into analytical requirements, and deliver clear, meaningful reports and dashboards. Your work will help drive performance, uncover opportunities, and ensure teams are aligned around trusted data.

Responsibilities:
Build and own the first inhouse Sales Analytics platform, aiming to generate the Source of Truth for our business decision making.
Design, create and maintain business dashboards, reports and visualizations
Work with stakeholders to gather requirements from teams across the organization to consolidate definitions and derive metrics.
Create and maintain documentation for all of the above.
Communicate data to stakeholders with the goal of allowing data driven decision making.

We're looking for you, to develop the next generation of our leading security product. We put our people first. We strongly believe in teamwork, and we encourage and trust our people to reach higher, learn more, and live up to their potential.

Maintain the multi region, multi tenancy SaaS solution over AWS
Design and developing scalable, highly available, cross region system
Set and meet the performances by KPIs
Perform critical software maintenance in a real customer live environment
Lead the non-functional aspects of the products
Collaborate with various development teams

We're looking for you, to develop the next generation of our leading security product.

we put our people first. We strongly believe in teamwork and encourage and trust our people to reach higher, learn more, and live up to their potential.

Java and GO Guru with coding hands-on ability
Set and meet the performances by KPIs
Establish a high scale multi-tenancy cloud foundation solution
Working with cutting-edge technologies in a dynamic environment, where you can learn and mentor your team members
Collaborate with Product Managers, Frontend and Backend Developers, and QA Engineers

We're looking for you, to develop the next generation of our leading security product.

Here we put our people first. We strongly believe in teamwork and encourage and trust our people to reach higher, learn more, and live up to their potential.

GO Guru with coding hands-on ability
Set and meet the performances by KPIs
Establish a high scale multi-tenancy cloud foundation solution
Working with cutting-edge technologies in a dynamic environment, where you can learn and mentor your team members
Collaborate with Product Managers, Frontend and Backend Developers, and QA Engineers

We're hiring a Global Customer Support/Experience (SaaS B2B) Lead who stands out from the crowd, bringing extensive experience in customer support management. As a key player in our customer-facing unit, you'll take charge of a team of experience / support agents, delivering an innovative solution designed to outsmart fraud using cutting-edge technology. Our mission is to provide our clients with the strongest defense against chargebacks, driving up their revenue and profit margins. Join us as we embark on this exciting journey to redefine the battle against fraud.

Your Arena:
Manage and lead an offshore team of customer experience/support agents, promoting a culture of excellence to ensure the continuous delivery of top-tier customer service around the clock.
Drive the development and implementation of support protocols, policies, and procedures to enhance both operational efficiency and effectiveness aiming to empower our end-users.
Create and continuously monitor and analyze key performance metrics and indicators to ensure both commercial and strategic targets are consistently met or surpassed.
Conduct regular performance evaluations of team members and provide constructive feedback and coaching to team members ensuring continuous quality improvement.
Review and monitor requests to create and promote data-based self-service plans aiming to reduce the number of cases and improve overall efficiency and unit economics.
Build and maintain an ever-growing knowledge base, documenting best practices, frequently asked questions, product videos, and resolution strategies to empower the support team, improve efficiency, and cater to the companys growth.
Onboard and mentor new employees, enrich team training and knowledge Guide and enable personal development for team members to maintain a highly motivated and engaged team that delivers at high standards.
Proactively provide hands-on assistance and guidance to team members, offering support in handling escalated customer inquiries or resolving issues promptly and effectively.
Closely collaborate with other departments, such as Customer Success, Operations, and Sales, to both address customer needs and contribute to overall product and offering evolution.

We are building a new software engineering team with strong applied AI orientation to amplify success. The team will be focusing on creating company-wide applications to address our colleagues every day problems. You will have a chance to work with a broad range of teams , helping them to be more productive with custom solutions.
Collaborate with cross-functional distributed teams.
Gather, analyze and spec out requirements, and manage product deliverables.
Design and build scalable AI-driven products addressing real-world problems.
Stay current with the latest technical advancements, particularly in the field of AI and LLMs.

we are seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep problem solver who is motivated by unsolved challenges.

Job Responsibilities (including, But Not Limited To, The Following)

Building algorithmic, computer-driven models
Conducting research on academic quantitative finance literature
Exploring and handling data
Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)

Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives

As a machine learning research engineer at our CTO office, you will:

Conduct long-term open-ended research that enhances and expands deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging core technology to develop and deploy tailored solutions to clients.

We are looking for:

You, a top-notch DevOps engineer with a proven track record, to help design and bring to production a scalable, microservice-based, deep learning industrial process optimization cloud tools that will scale to support thousands of plants, in what will become a worldwide manufacturing optimization system.



In Your Role You Will:

Create and maintain bleeding-edge cloud infrastructure to host services developed in-house (Docker, Kubernetes, Service Mesh)
Work with architects and developers to create services built on observable, scalable and secure infrastructure
Deploy monitoring and alerting tools to give dev and support teams insight into how their services function
Build out CI/CD automation and workflows for new services and maintain workflows for existing services
Leverage public cloud services and tools to improve the efficiency and reliability of our services and workflows
Research and integrate new tools

We are looking for a passionate and experienced Machine Learning Research Engineer with a deep curiosity for understanding systems and a relentless drive to innovate. This role is perfect for a self-starter who thrives on tackling complex problems, exploring new ideas, and pushing boundaries. We want someone who doesnt just solve given tasks but proactively envisions and develops new applications, challenges the status quo, and enhances models and methodologies to deliver cutting-edge solutions.

As a Machine Learning Engineer in our algo R&D, you will:

Conduct cutting-edge research to develop new functionalities for our models, expanding core deep reinforcement learning technology.
Advance the development of AutoML solutions to streamline and enhance machine learning workflows.
Drive the productization of your research, transforming innovative concepts into impactful, production-ready solutions.
Design and implement solutions with a focus on scalability, efficient runtime performance, and seamless deployment in production environments.

We are looking for a talented Insurance Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve pricing models and rate plans, using advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Develop and refine predictive pricing and risk models using statistical and machine learning techniques to improve underwriting accuracy and pricing fairness
Evaluate existing rate structures and pricing methodologies, identifying opportunities to enhance predictive performance and business impact
Collaborate with actuarial and underwriting teams to ensure models align with regulatory and business requirements
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products

We are looking for a talented Lead Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. This role focuses on researching advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to enhance pricing, loss prediction, and rate plan optimization
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products
Translate business goals into actionable research and ensure the research contributions align with company-wide objectives
Collaborate with engineering and product leads to ensure the successful deployment and scaling of research-driven solutions
Serve as a technical leader and coach for the Data Science team, helping to shape team processes and best practices

What were looking for:
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques.