Job Description

Job Description

Title:

Senior Data Scientist

Employment Type

Full-Time

Work Authorization: US Citizen OR US Person

Job Site

Hybrid / Remote (1 day onsite)

City

Kirkland

State

WA

Salary Range:

160,000K - 180,000K

SUMMARY

We are seeking a Senior Data Scientist for a leading financial technology and investment analytics organization, which would be a great opportunity for someone with experience in financial data analysis, statistical modeling, and machine learning looking to further their career in quantitative finance and investment research.

We Are Looking For Someone Who:

• Enjoys problem solving.
• Enjoys wallowing in the data until they find the meaning in it.
• Has great mathematical and statistical intuition.

ROLE & RESPONSIBILITIES

• Design and implement sophisticated statistical models and machine learning algorithms to extract insights from large-scale financial datasets.
• Lead the end-to-end development of data science projects, including problem formulation, data exploration, feature engineering, modeling, validation, and deployment.
• Translate complex mathematical theories into practical applications and tools for financial forecasting, risk modeling, and portfolio optimization.
• Collaborate closely with product managers, engineers, and financial domain experts to align analytical solutions with business goals.
• Present findings and recommendations to executive stakeholders with clarity and precision.
• Mentor junior data scientists and contribute to the development of best practices in data science and quantitative modeling.

ESSENTIAL QUALIFICATIONS

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Physics, Quantitative Finance, or related field.
• 5+ years of experience in a data science or quantitative role, preferably in the financial services sector.
• Proven expertise in solving complex mathematical or statistical problems using large datasets.
• Proficiency in Python and/or R, with deep experience in data manipulation, machine learning libraries, and statistical modeling tools.
• Experience with financial data (market data, alternative data, economic indicators, etc.) and understanding of capital markets or risk modeling.
• Solid foundation in probability theory, time-series analysis, and optimization techniques.
• Strong communication skills, with the ability to convey technical results to non-technical audiences.

BONUS QUALIFICATIONS

• Experience with cloud platforms (e.g., AWS, Azure) and distributed computing.
• Familiarity with data visualization tools, such as Power BI and Tableau.
• Published research or contributions to open-source investment data science projects.
• Background in robust statistics, financial modeling, and private markets.

WHY AVERRO?

Averro is an equal opportunity employer, and we are committed to diversity, equity, and inclusion in the workplace. All qualified applicants will receive consideration for employment, regardless of criminal histories, consistent with legal obligations. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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