For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and ... Financial applications of causal inference are challenging and demand new methods that go beyond ...
For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and ... Financial applications of causal inference are challenging and demand new methods that go beyond ...
As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable ...
As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable ...
As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable ...
New
As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable ...
New
Deep expertise in experimentation and causal inference. * Strong knowledge of Bayesian modeling and ... your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc ...
Deep expertise in experimentation and causal inference. * Strong knowledge of Bayesian modeling and ... your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc ...
This individual must be adept at managing research partnerships and ensuring that externally ... Doctoral-level experience applying causal inference methods to real-world healthcare data ...
This individual must be adept at managing research partnerships and ensuring that externally ... Doctoral-level experience applying causal inference methods to real-world healthcare data ...
$220K - $290K/yr
Apply advanced techniques, including causal inference, graph ML, time-series modeling, and ... Has been on‑call and participated in an incident management program *The role does not offer ...
New
$220K - $290K/yr
Apply advanced techniques, including causal inference, graph ML, time-series modeling, and ... Has been on‑call and participated in an incident management program *The role does not offer ...
New
Demand forecasting, dynamic pricing, revenue management, price‑elasticity estimation, econometrics, causal inference, or optimization. Snowflake, dbt, cloud orchestration, and practical MLOps or ...
Demand forecasting, dynamic pricing, revenue management, price‑elasticity estimation, econometrics, causal inference, or optimization. Snowflake, dbt, cloud orchestration, and practical MLOps or ...
All employees can work for free with world-class coaches who specialize in creativity, management ... What You'll Do Own causal inference and experimentation Design and analyze experiments, and build ...
All employees can work for free with world-class coaches who specialize in creativity, management ... What You'll Do Own causal inference and experimentation Design and analyze experiments, and build ...
Experience with causal inference methods such as split-testing, instrumental variables, difference ... managers to develop new science and to translate it into deployed products at scale. You will also ...
Experience with causal inference methods such as split-testing, instrumental variables, difference ... managers to develop new science and to translate it into deployed products at scale. You will also ...
... managers, designers and operations agents to achieve shared, cross-functional goals to help keep ... Your expertise in causal inference as well as passion for the subject matter will help you address ...
... managers, designers and operations agents to achieve shared, cross-functional goals to help keep ... Your expertise in causal inference as well as passion for the subject matter will help you address ...
... causal inference methods to measure the impact of a new pricing guidance tool, to generating ... your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc ...
New
... causal inference methods to measure the impact of a new pricing guidance tool, to generating ... your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc ...
New
Knowledge of econometric research methods for causal inference, especially quasi-experimental ... Knowledge of data management systems, practices, and standards. * Strong organizational skills and ...
Knowledge of econometric research methods for causal inference, especially quasi-experimental ... Knowledge of data management systems, practices, and standards. * Strong organizational skills and ...
$45K - $60K/yr
This position will report to the Manager of AI Analytics. You Will: * Provide thought leadership ... Apply causal inference and quasi-experimental methods -- including fixed-effects models, difference ...
$45K - $60K/yr
This position will report to the Manager of AI Analytics. You Will: * Provide thought leadership ... Apply causal inference and quasi-experimental methods -- including fixed-effects models, difference ...
$83K - $203K/yr
Design and interpret A/B tests; when A/B testing is not feasible, apply causal inference methods (e.g., Diff-in-Diff, Propensity Score Matching) to determine product efficacy * Develop ROI ...
$83K - $203K/yr
Design and interpret A/B tests; when A/B testing is not feasible, apply causal inference methods (e.g., Diff-in-Diff, Propensity Score Matching) to determine product efficacy * Develop ROI ...
With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Design, implement, and analyze experiments (A/B tests, causal inference) that inform product and ...
With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Design, implement, and analyze experiments (A/B tests, causal inference) that inform product and ...
... causal inference. The position suits a candidate with prior experience using healthcare data ... Skill in data cleaning and management, statistical and econometric analysis (including cost ...
... causal inference. The position suits a candidate with prior experience using healthcare data ... Skill in data cleaning and management, statistical and econometric analysis (including cost ...
You will lead the design of broker‑level success metrics and the causal inference frameworks that ... with Product Managers and go‑to‑market teams to design, deploy, and execute measurement ...
You will lead the design of broker‑level success metrics and the causal inference frameworks that ... with Product Managers and go‑to‑market teams to design, deploy, and execute measurement ...
Apply statistical methods, experimentation design, and causal inference where they sharpen a ... You don't manage anyone -- you're the person newer analysts learn from. * Translate findings into ...
Apply statistical methods, experimentation design, and causal inference where they sharpen a ... You don't manage anyone -- you're the person newer analysts learn from. * Translate findings into ...
$207K - $218K/yr
Collaborate closely with product managers, data scientists, and other engineers to deeply ... Experience applying causal inference methodologies to both observational and experimental datasets.
$207K - $218K/yr
Collaborate closely with product managers, data scientists, and other engineers to deeply ... Experience applying causal inference methodologies to both observational and experimental datasets.
... management, pharmacy programs, network initiatives, supplemental benefits, and value-based ... Design and execute causal inference evaluations using: Propensity score methods (matching/weighting ...
... management, pharmacy programs, network initiatives, supplemental benefits, and value-based ... Design and execute causal inference evaluations using: Propensity score methods (matching/weighting ...
Manager Causal Inference information
What does a manager causal inference do?
A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.
What are the key skills and qualifications needed to thrive as a manager causal inference?
To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
How does a manager causal inference typically collaborate with cross-functional teams to drive impactful business insights?
Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.
What are the most commonly searched types of Causal Inference jobs in Kentucky?
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For Manager Causal Inference jobs in Kentucky, the most frequently searched job titles are:
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Cities in Kentucky with the most Manager Causal Inference job openings:
Member of Research Staff, Causal Inference, Voleon Securities
On-site
The Voleon Group
• Investment Management and Consulting Services • 11 - 50 employees11 - 50 employees
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 22 days ago
Job description
Member of Research Staff, Causal Inference, Voleon Securities Location Employment Type
#J-18808-LjbffrFull time
Location TypeHybrid
DepartmentSecurities
CompensationThe listed base salary range for this position is based upon the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits.
Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.
Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon's deep real-world experience applying ML to financial markets.
We are looking to add an experienced and creative causal inference researcher to our growing ML research group. We welcome researchers with both strong theoretical foundations and experience applying causal inference methods in industrial settings. Financial applications of causal inference are challenging and demand new methods that go beyond the academic state-of-the-art; it is critical candidates have a deep understanding of the field to draw inspiration for new methodology.
This is a chance to join the initial buildout of a fully modern securities business rooted in the frontier of AI/ML and statistics. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.
As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists, Voleon supports a culture of curiosity, collegiality, and creativity.
Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we've spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous.
Years of academic training has prepared you for this moment. You won't just conduct research, you'll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading.
Relocation and work visa eligibility for qualified candidates
ResponsibilitiesDevelop a rich understanding of Voleon's challenges and methodologies and propose causal inference research innovations and experiments to build, maintain and optimize models of the market
Prepare and analyze new market datasets to gain insight into market microstructure
Develop, validate, and implement improvements to our models of the market
Design and conduct synthetic and live trading experiments to sharpen understanding of market behavior
Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes
Keep up to date on the latest causal inference academic research to identify novel approaches to explore for application to our domain
RequirementsPh.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred
Background in causal inference and statistics with a strong track record of publishing causal inference papers in top tier journals and conferences
Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)
Interest in software development techniques and willingness to write production-level code (Python)
Eagerness to work in a fast paced and growing business
Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite
Equal Opportunity EmployerThe Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
About Voleon Group
Sourced by ZipRecruiter
Industry
Investment management and consulting services
Company size
11 - 50 Employees
Headquarters location
Berkeley, CA, US
Year founded
2007