Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Hybrid work (3 days in office, 2 days remote)

• Unlimited vacation days (15+ after first year)

• Fully stocked kitchen (unlimited snacks and coffee)

• Top-tier hardware and software (3.5 million KRW worth)

• 100% coverage for professional development (books, workshops, seminars, etc.)), Unlimited support for publication and patent expenses), 1 million KRW health check-up (annually)

Education Requirements:

• Bachelor's degree or higher in Finance, Economics, Statistics, Computer Science, or related field

Experience Requirements:

• 5+ years of experience in index development and operations

Other Requirements:

• Excellent communication and problem-solving skills

• Knowledge of statistical and data analysis techniques

• Experience with financial databases and software tools

• CFA, FRM, or other relevant certifications (preferred)

• Understanding of large-scale data processing and system development (preferred)

Responsibilities:

• Research, development, simulation, and maintenance of benchmark indices for various financial products (ETFs, ETNs, Funds, etc.)

• Researching trends and themes in the financial market

• Index contract and quarterly settlement

• Index component changes based on index methodology

• Team Management

Benefits:

• Hybrid work (3 days in office, 2 days remote)

• Unlimited vacation days (15+ after first year)

• Fully stocked kitchen (unlimited snacks and coffee)

• Top-tier hardware and software (3.5 million KRW worth)

• 100% coverage for professional development (books, workshops, seminars, etc.)), Unlimited support for publication and patent expenses), 1 million KRW health check-up (annually)

Education Requirements:

• No specified educational requirements

Experience Requirements:

• 3-8 years of B2B sales experience

Other Requirements:

• Proven track record of success in outbound sales

• Proactive and ambitious attitude

• High understanding of software technology and interest in IT industry and tech trends

Responsibilities:

• New customer acquisition and sales activities for B2B products (DeepSearch data platform, etc.)

• Creating customized proposals for new and potential clients

• Providing consulting support for B2B customers

• Reflecting market demands on products and suggesting product direction

• Responding to questions and requests from clients and potential clients

Experience Requirements:

• 6+ years

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

• Strong knowledge of ESG principles and sustainability

• Excellent communication and leadership skills

Responsibilities:

• Collaborate with leadership and marketing teams to develop target markets and execute account-based marketing strategies

• Build and maintain client partnerships for ESG advisory, consulting, reporting, risk management, and proof of concepts (POCs)

• Create presentations, proposals, and subject matter documents for internal and external stakeholders

• Contribute to product innovation, research, and model development with ESG teams

• Demonstrate leadership and executive presence in public speaking engagements

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

• Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related field

Experience Requirements:

• 3+ years of experience in data analysis, preferably within ESG or Sustainability domain

Other Requirements:

• Proficiency in data analysis tools such as Python, R, or SQL

• Experience with data visualization tools like Power BI, Tableau, or equivalent

• Strong statistical knowledge and the ability to interpret complex data sets

• Excellent communication skills with the ability to translate data insights into business recommendations

• Ability to work both independently and as part of a team

Responsibilities:

• Perform detailed analysis on structured and unstructured datasets to identify trends, correlations, and insights

• Work closely with cross-functional teams to understand data requirements and business objectives

• Use statistical techniques to interpret and visualize data trends

• Generate reports and dashboards to communicate findings to stakeholders

• Identify and suggest improvements in data collection, reporting, and analysis processes

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field (Master’s degree preferred)

Experience Requirements:

• Proven experience in data scraping from news API’s (e.g., Google, Yahoo) and keyword-based scraping techniques

Other Requirements:

• Proficiency in data parsing techniques to extract structured information from unstructured text sources

• Strong understanding of sentiment analysis methodologies and tools

• Experience with advanced technologies such as LLM/GPT Vision and AWS Textract for data analysis

• Familiarity with programming languages commonly used in data scraping and analysis (e.g., Python, R)

• Excellent analytical and problem-solving skills, with the ability to translate data insights into actionable recommendations

• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

Responsibilities:

• Develop and implement efficient data scraping strategies from news API’s (e.g., Google, Yahoo) to gather relevant information based on specified keywords and criteria

• Utilize advanced parsing techniques to extract structured data from unstructured text sources

• Conduct sentiment analysis on extracted data to discern attitudes, opinions, and trends

• Collaborate with cross-functional teams to integrate data insights into decision-making processes and product development

• Stay updated with the latest advancements in data scraping, parsing, and sentiment analysis techniques, and continuously optimize processes for enhanced efficiency and accuracy

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

• Diploma/ Bachelor’s degree or equivalent experience in Computer Science or related field

Experience Requirements:

• Software development experience using JavaScript and Node for 2+ years

Other Requirements:

• Designing and implementing testable and scalable code

• Develop quality software and web applications

• Analyse and maintain existing software applications

• Discover and fix programming bugs

Responsibilities:

• Designing and implementing testable and scalable code

• Develop quality software and web applications

• Analyse and maintain existing software applications

• Discover and fix programming bugs

Benefits:

• Flexible working arrangement remotely or hybrid

Experience Requirements:

• 1-3 years experience working with data, and coding experience in R/Python (including relevant internship experiences)

Other Requirements:

• Are comfortable with open ended challenges and finding creative solutions

• Are interested in ESG, cultural shifts and the digital landscape

• Have the drive to learn and master new technologies and techniques

• Have strong written and communication skills (English), especially in the multidisciplinary team

Responsibilities:

• Develop models and analytical frameworks designed for the sharpest insights and professionals in the world, helping them priorities the ESG issues that matter most to their business and spot where the next big opportunities and change will come from

• Aggregate information from open data sources and third party data

• Build a complete picture of sustainability performance using search, social & alternative data sources

• Projects run end-to-end: from dataset design, to data gathering, aggregation, cleaning, modelling and visualization

Education Requirements:

• Bachelor’s degree in a relevant field (e.g., Environmental Science, Sustainability, Business, etc.); advanced degree or certification in ESG-related disciplines is a plus

Experience Requirements:

• Proven experience in ESG risk management, preferably in a SaaS or technology-driven environment

• Strong understanding of ESG frameworks, standards, and reporting requirements

• Excellent communication and interpersonal skills with the ability to engage with stakeholders at all levels

Other Requirements:

• Familiarity with SaaS business models and the ability to integrate ESG considerations into software development practices is desirable

Responsibilities:

• Lead the ESG strategy and execution of solution requirements for ESG risk management

• Lead a team of analysts

• Conduct thorough research and analysis on the technological needs and pain points of companies in implementing effective Environmental, Social, and Governance (ESG) risk management strategies

• Assess the ESG Risk models and the user/country specific risk assessment policies

• Explore the specific requirements of companies in integrating ESG risk management systems, understanding their pain points, and proposing innovative technological solutions

Education Requirements:

• Strong knowledge Python, PySpark, AWS, MySQL

Experience Requirements:

• Ability to run Python jobs based on scheduler

• Possess good data analytical skills and problem solving skills

• Soft skills, able to work independently with users on requirements gathering or issues investigation

• Strong communication and interpersonal skills

Other Requirements:

• Familiar with general data architecture concept, including data warehousing and big data technology is preferred

Experience Requirements:

• Hands on experience in Qlik Sense development, dashboarding and data modeling and reporting (ad hoc report generation) techniques

• Must have worked on Qlik GeoAnalytics & Qliksense on AWS

• Must be good at Data transformation, the creation of QVD files and set analysis

• Experienced in application designing, architecting, development and deployment using Qlik Sense

• Must be efficient in front-end development and know visualization best practices

Other Requirements:

• Strong database designing and SQL skills

• Strong communication skills (verbal/written) to deliver the technical insights and interpret the data reports to the clients

• Creating and maintaining technical documentation

• Experienced in data integration through extracting, transforming and loading (ETL) data from various sources

Benefits:

• Competitive base salary with uncapped commission potential.

• Flexible work environment with remote options.

• Opportunity to be part of an innovative team at the forefront of cybersecurity and quantum technology.

• Professional growth and learning opportunities in a fast-growing sector

Experience Requirements:

• 2+ years of demonstrated success in SaaS sales, with a preference for experience in cybersecurity, encryption, or data protection industries

Other Requirements:

• Exceptional interpersonal, presentation, and negotiation skills, with the ability to convey technical concepts in a client-friendly manner.

• Familiarity with SaaS platforms; knowledge of cybersecurity or encryption technologies is a strong asset.

• Track record of exceeding sales targets and closing deals.

• Ability to work independently, set priorities, and drive results in a remote or hybrid environment.

• Flexibility to collaborate in-house when required and adjust to evolving client needs or market demands

Responsibilities:

• Lead Generation and Engagement

• Client-Centric Solutions

• Sales Presentations and Demos

• Pipeline and CRM Management

• Market Feedback and Collaboration

Benefits:

• Competitive salary and bonuses

• Remote work flexibility with in-house team collaboration.

• A chance to work on industry-leading technology at the cutting edge of data security.

• Opportunities for professional development and growth within the cybersecurity and quantum technology space

Experience Requirements:

• 2+ years in SaaS product management, with at least 1 years in a cybersecurity or data protection context

Other Requirements:

• Exceptional communication, strategic thinking, and project management skills with a collaborative mindset.

• Understanding of quantum security, data protection, or encryption is a strong asset.

• Proven ability to work closely with customers to understand their needs and translate them into actionable product features.

• Demonstrated success in managing and delivering SaaS products that meet both business and customer objectives

Responsibilities:

• Product Strategy and Roadmap

• Cross-Functional Leadership

• Customer-Centric Development

• Market Analysis

• Product Lifecycle Management