Market Operations - Weather

Kalshi
New York Office, US
On-site

Who this role is best for

Geared toward candidates with technical expertise in weather data and a background in financial operations, comfortable with building automated data pipelines and resolving settlement issues under time pressure.

Best fit for

  • Candidates with technical proficiency in Python and SQL and experience in weather data systems
    — “Proficiency in Python and SQL, with experience building and operating automated data pipelines using Dagster or a similar orchestration framework.”
  • Individuals who have managed data providers and understand authoritative data sources
    — “Experience managing providers, service-level expectations, data quality, and fallback procedures.”
  • Candidates with a deep understanding of weather data standards and settlement rules
    — “Practical knowledge of National Weather Service Climatological Reports (CLI) and Automated Surface Observing System (ASOS) station behavior.”

Things to consider

  • The role requires handling time-sensitive issues, including early-morning settlement questions.
    — “You are comfortable handling time-sensitive issues, including early-morning settlement questions”
  • The role demands ownership of complex weather data and settlement processes.
    — “You will know how to investigate and apply the contract terms.”

How to stand out

  • Highlight experience with automated data pipelines and weather data resolution.
    — “Build and maintain Python and SQL workflows that list, monitor, and settle hundreds of city-day markets”
  • Emphasize ability to translate ambiguous weather data into precise settlement terms.
    — “The ability to translate complex weather events and imperfect data into precise, unambiguous settlement terms.”
  • Demonstrate familiarity with managing data vendors and fallback procedures.
    — “Manage Synoptic and other data relationships, including service levels, quality checks, and fallback sources permitted by contract terms.”
  • Showcase skills in working with legal and compliance teams on financial documentation.
    — “Partner with legal and compliance on contract self-certification, settlement procedures, and void policies.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate and consistent settlement decisions
  • reliable markets
  • clear contracts
  • accurate settlements
  • automation
Typical background
practical knowledge of National Weather Service Climatological Reports and Automated Surface Observing System station behavior

Skills & requirements

Required

Weather DataContract TermsExchange RulesPythonSQLData PipelinesLegal And ComplianceTradingRisk ManagementProduct ManagementEngineeringPricing And Liquidity IssuesWeather MarketsRetail TradersInstitutional Hedgers

Preferred

Product ManagementTeam Leadership

Stack & domain

PythonSQLDagsterNational Weather Service Climatological Reports (cli)Automated Surface Observing System (asos)Station BehaviorOutagesRevisionsPreliminary Versus Final ValuesLocal Standard Time Versus Daylight TimeOperational SystemsData WorkflowsAccuracyReliabilityInvestigationDefensible DecisionOutcomeData PipelinesService-level ExpectationsData QualityFallback ProceduresLive ObservationsAuthoritative SourceContract TermsExchange RulesSettlement ProceduresVoid PoliciesAudit TrailsSettlement DecisionsPricingLiquidityWeather MarketsRetail TradersInstitutional HedgersLeadershipCommunicationProblem-solvingTeamworkPrediction MarketsFinancial MarketsSettlementMonitoringDiscrepanciesResolutionContractsTemperatureRainSnowHurricaneTrace PrecipitationMissing ObservationsReport RevisionsStation RelocationsTime-boundary IssuesSettlement Source

About the role

Original posting from Kalshi via Ashby

WHAT IS KALSHI?

Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history, is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more.

We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position.

  • Our vision: well… build the largest financial market on the planet.
  • Our mission: bring more truth to the world through the power of markets.

Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.

ROLE ROADMAP

We are looking for someone to own the operations and infrastructure behind Kalshi’s weather

markets. You will turn weather data into clear contracts, reliable markets, and accurate

settlements, while building the automation that allows the category to scale.

This is a hands-on role. You will write code, investigate station data, manage data partners, and

make sound settlement decisions under time pressure. When a report is revised or a station

goes down, you will know how to investigate and apply the contract terms.

WHAT YOU’LL DO

  • Own settlement, monitor official reports, investigate discrepancies, and resolve settlement issues accurately and consistently with contract terms and exchange rules.
  • Design and launch contracts. Write clear terms for temperature, rain, snow, and hurricane markets. Anticipate trace precipitation, missing observations, report revisions, station relocations, and time-boundary issues before launch.
  • Manage Synoptic and other data relationships, including service levels, quality checks, and fallback sources permitted by contract terms. Understand when vendor observations diverge from the official settlement source.
  • Build and maintain Python and SQL workflows that list, monitor, and settle hundreds of city-day markets, with reliable orchestration, alerting, and exception handling.
  • Partner with legal and compliance on contract self-certification, settlement procedures, and void policies. Maintain clear, reproducible audit trails for settlement decisions.
  • Work with trading, risk, product, and engineering to identify pricing and liquidity issues and expand weather markets for retail traders and institutional hedgers.

WHAT YOU BRING

  • Practical knowledge of National Weather Service Climatological Reports (CLI) and Automated Surface Observing System (ASOS) station behavior, including outages, revisions, preliminary versus final values, and local standard time versus daylight time.
  • Experience running operational systems or data workflows where accuracy and reliability matter. You can investigate an ambiguous issue, make a defensible decision, and own the outcome.
  • Proficiency in Python and SQL, with experience building and operating automated data pipelines using Dagster or a similar orchestration framework.
  • Experience managing providers, service-level expectations, data quality, and fallback procedures. You can distinguish live observations from the authoritative source specified in a contract.
  • The ability to translate complex weather events and imperfect data into precise, unambiguous settlement terms.
  • Experience working under exchange rules, or the ability to quickly learn Part 40 self-certification, void policies, and settlement documentation requirements.
  • You are comfortable handling time-sensitive issues, including early-morning settlement questions, and building systems that prevent recurring problems.

BONUS POINTS

  • You understand how market makers price weather and can recognize when liquidity incentives or trading activity create directional weather exposure.
  • Familiarity with utilities, energy traders, agriculture, reinsurance, or other institutional users of weather markets.
  • An understanding of ensembles and model biases, and how they inform market design and surveillance.

NYC PAY TRANSPARENCY DISCLOSURE

Salary Range: $120,000 to $180,000 annually plus equity and benefits. This salary range is based on the current available market data, and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but has broad ranges of experience represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to further discuss.

OUR CULTURE

Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.

Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1.

COMMITMENT TO EQUAL OPPORTUNITY

Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our mission and values, we’d love to hear from you.

Source: Kalshi careers (Ashby)

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