Are you passionate about translating the needs of clients into analytics and metrics to help them make better decisions, faster and easier? Do you enjoy developing our quantitative analyst and data science team and elevating the role of data exploration, data analytics, modeling, and machine learning algorithms at RepRisk? Do you believe in the power of high-quality data and metrics to address Environmental, Social, and Governance (ESG) issues?
If your answers are YES – then this is the perfect role for you!
Your Responsibilities
As our Head of Data Science and Analytics, you are responsible for transforming RepRisk data into a strategic asset, enabling informed decisions, driving innovation, and powering RepRisk’s global growth.
In this role, you will lead the corresponding department and report to the Chief Product Officer, based in Zurich. You will manage a high-impact team of data scientists and data analysts to enhance our ESG risk and legal entity datasets, develop decision-driving metrics, and deliver actionable insights for our clients and our internal decision making. You will work closely with Commercial, Research, Product Management, Machine Learning, and Engineering teams to develop best-in-class data products and to ensure decision-ready data is delivered to our clients.
Moreover, you will
* Lead and develop a team of high-impact data scientists and data analysts. Foster a collaborative and high-performance culture. Develop skills within the team and provide opportunities for professional development.
* Leverage data science expertise to understand characteristics and identify patterns in the risk and legal entity datasets. Evaluate cutting-edge analytics tools, statistical methods, AI/ML models and forecasting techniques to keep RepRisk at the forefront of business conduct risk insights. Build and validate data models applicable to various use cases in different client segments.
* Engage with clients, prospects, sales, and key account management to enable our clients to easily make better and faster decisions. Drive the use and impact of data science and analytics across the company.
* Own and further develop RepRisk risk metrics. Ensure our metrics are explainable, justifiable and scalable. Understand client needs, prototype and develop fit-for-purpose metrics. Act as the internal and external evangelist for RepRisk metrics.
* Build a center of excellence for data driven decision making across RepRisk. Develop analytics skills and capabilities across departments, define what good looks like, and collaborate with senior Product & Technology to make these insights broadly accessible.
* Foster the research and development of innovative approaches internally and with scientific research partners, to uncover patterns, trends, and correlations within ever-expanding datasets. Ensure research contributes to thought leadership and product discovery priorities.
* Contribute to the Products and Technology management team and stay in close contact with the client-facing teams to agree on priorities, resource allocation, and timelines.
You Offer
* A master’s degree in statistics, mathematics, physics, data science, or a related field.
* 10+ years of experience in data science, quantitative analysis, quantitative investing, or machine learning modeling.
* Strong analytical and problem-solving skills with the ability to analyze complex data and identify insights.
* Client-centric mindset: deep interest in different clients and their businesses and decision making needs; knowledge about ESG, financial services, or sustainability standards is beneficial.
* Proven track record of successfully leading a data science organization within a similar business. Includes people as well as managing cross-functional project management and the ability to influence stakeholders and work closely with them to determine optimal solutions.
* Strong communication skills and the ability to effectively present analysis results and recommendations to stakeholders at all levels and with different backgrounds.
* Experience working closely with software and ML engineers or within a product & technology team.
* Experience setting performance goals and measuring success.
* Working experience or strong interest in investment management is considered a plus.
About Us
RepRisk is a rapidly growing global company and pioneer in the environmental, social, and governance (ESG) data science field. Our mission is to foster positive change by promoting transparency in business practices through the power of data. Leveraging AI, machine learning, and human intelligence, we analyze public information to identify ESG risks, serving as a reality check for how companies conduct their business worldwide - do they walk their talk when it comes to human rights, labour standards, corruption, and environmental issues?
We offer
* Join a growing, diverse, and experienced team that fosters skill development and offers support.
* Flexible working hours and arrangements to accommodate your needs.
* Thrive in an entrepreneurial, international, and dynamic work environment.
* Be part of a shared mission to hold companies accountable and encourage responsible behaviour.
* A company that embraces diversity, because life would be boring if we were all the same!
Please note that we will only consider candidates with a valid work permit
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