Senior Quantitative Risk Manager

Baton is a cross-asset investment firm that operates through systematic algorithmic trading paired with rigorous market analysis. The organization manages multiple strategy portfolios spanning all major asset classes with dedicated teams, including those focused purely on systematic approaches. You'll join the Risk team as a Senior Quantitative Risk Manager, reporting to the Head of Risk while working closely with portfolio managers and engineers to establish risk infrastructure for the traditional-financing trading division.

About Baton

Baton operates as a private investment firm headquartered in Baar, Switzerland, with a focus on systematic and cross-asset investing strategies. The firm combines algorithmic trading frameworks with comprehensive market research to manage diverse multi-strategy portfolios. Known for its collaborative culture and flat organizational structure, Baton emphasizes ownership, performance, and employee empowerment as core values, with career development opportunities that evolve with company growth.

What you'll do

• Construct and maintain a comprehensive risk engine incorporating VaR/CVaR calculations, stress testing, and scenario analysis across all strategies

• Partner with the Head of Risk to design the firm's limit framework from inception

• Validate systematic strategies independently before deployment

• Monitor market, liquidity, and counterparty risk daily, managing escalations and producing both daily and monthly risk reporting

• Build AI-supported risk workflows that maintain clear guardrails and require human approval before execution

• Provide risk perspective and guidance for new products, strategies, and firm-wide initiatives

What you'll bring

• Five or more years of quantitative or investment risk experience gained at a hedge fund, proprietary trading firm, or multi-strategy platform, or alternatively, market-risk experience managing trading books at a financial institution

• Degree in mathematics, engineering, economics, finance, or related quantitative field; Master's or doctoral degree preferred, along with credentials such as FRM, CFA, or CQF

• Deep hands-on expertise with VaR, CVaR, stress and scenario analysis, and backtesting methodologies, including understanding of their constraints

• Solid grasp of equities, fixed income, FX, commodities and energy, credit markets, and their associated derivatives

• Production-grade Python coding and proficient SQL skills, with experience collaborating in shared codebases using version control and CI/CD systems

• Track record designing and implementing risk management frameworks

• Self-directed approach with ability to work independently and drive process automation where it improves value and reliability

• Fluent English communication, both written and spoken; German is advantageous

Nice to have

• Collaborative mindset suited to small, hands-on team environments

What they offer

• Ownership-focused environment with flat hierarchies and high-impact work

• 25 days of paid leave annually

• Competitive compensation with performance-based annual bonus structure

• Hybrid arrangement based in Baar, Switzerland, with flexibility to work remotely up to four days per week

• Progressive social benefits and regular company events