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Remote Data Science Trading Jobs in Riverside, CA

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

Trainer (Remote)

Santa Ana, CA · Remote

$64K - $85K/yr

Data gathering and analysis * Facilitation skills * Critical thinking to develop or asses training ... trade secret information belonging to First American or its customers, administrating or ...

EDI Developer

Rancho Santa Margarita, CA · On-site +1

$90K - $140K/yr

... trading partners. Candidates experienced in EDI development, IBM Sterling B2B Integrator, or ... Support daily Electronic Data Interchange (EDI) production operations to ensure seamless data ...

EDI Developer

Rancho Santa Margarita, CA · On-site +1

$90K - $140K/yr

... trading partners. Candidates experienced in EDI development, IBM Sterling B2B Integrator, or ... Support daily Electronic Data Interchange (EDI) production operations to ensure seamless data ...

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Remote Data Science Trading information

What are the key skills and qualifications needed to thrive as a Remote Data Science Trading professional, and why are they important?

To thrive as a Remote Data Science Trading professional, you need a strong background in statistics, quantitative analysis, programming (typically Python or R), and a relevant degree such as mathematics, finance, or computer science. Familiarity with trading platforms, machine learning libraries, data visualization tools, and sometimes certifications like CFA or FRM are highly valued. Excellent problem-solving, communication, and self-management skills are crucial for analyzing market data and collaborating remotely. These abilities ensure effective trading strategies, accurate data-driven decisions, and seamless teamwork in a fast-paced, distributed environment.

How do remote data science trading professionals typically collaborate with trading teams and stakeholders?

Remote data science trading professionals often work closely with traders, quantitative analysts, and software engineers through virtual meetings, collaborative platforms, and shared code repositories. Daily responsibilities may include analyzing market data, developing predictive models, and communicating actionable insights to inform trading strategies. Effective communication and clear documentation are crucial to ensure alignment across the team, given the remote structure. Many organizations use project management tools and regular check-ins to maintain transparency and foster collaboration between remote data scientists and other trading stakeholders.

What is a Remote Data Science Trading job?

A Remote Data Science Trading job involves using data analysis, statistical modeling, and machine learning techniques to inform and improve trading strategies, all while working from a remote location. Professionals in this role analyze large datasets, build predictive models, and help optimize financial trades for institutions or trading firms. The remote aspect means all tasks are performed online, allowing for flexible work arrangements and collaboration with teams across the globe. This position typically requires strong programming, analytical, and financial knowledge.
What are popular job titles related to Remote Data Science Trading jobs in Riverside, CA? For Remote Data Science Trading jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Trading jobs in Riverside, CA look for? The top searched job categories for Remote Data Science Trading jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Science Trading jobs? Cities near Riverside, CA with the most Remote Data Science Trading job openings:
Director, Marketing Analytics

Director, Marketing Analytics

loanDepot

Irvine, CA • On-site, Remote

$104K - $170K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 days ago


loanDepot rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Description
Position at loanDepot
Position Summary:
Responsible for serving as a strategic driver of customer-level insights, marketing effectiveness, and revenue growth. This role owns end-to-end customer and cohort analytics across the full lifecycle-from first touch through funded loan and post-close engagement-translating complex data into clear, actionable insights for executive leadership. The Director will lead full-funnel attribution and unit economics analysis to optimize digital marketing ROI, improve conversion efficiency, and inform lifecycle strategy, prioritization, and personalization. This position ensures the performance of all duties in accordance with the company's policies and procedures, all U.S. state and federal laws and regulations, wherein the company operates.
Responsibilities:
  • Deep understanding of mortgage-specific KPIs, including Cost Per Lead (CPL), Cost Per Funded Loan (CPFL), and pull-through rates at every stage of the pipeline.
  • Researches and analyzes consumer lending market trends to identify opportunities for improvement.
  • Owns customer-level and cohort-based analysis across the full lifecycle, from first touch through funded loan and post-close engagement.
  • Develop insights into customer behavior, intent signals, and drop-off patterns to inform lifecycle strategy, prioritization, and personalization.
  • Partners with Marketing and Product teams to design and analyze A/B tests for landing pages and digital application flows to reduce drop-off.
  • Partners with Revenue Operations and Sales leadership to drive revenue and profitability growth with data insights.
  • Partners with Data Science team to build and deploy machine learning models that prioritize leads based on conversion probability, credit profile, and intent data to optimize sales team efficiency.
  • Helps in the creation and implementation of strategies to promote consumer loans to target audiences.
  • Translates complex technical and data findings into actionable strategic insights for the C-suite.
  • Creates and delivers insightful presentations that summarize complex analyses and inform on business decisions.
  • Performs other duties and projects assigned.

Requirements:
  • Bachelor's degree in Business Economics or Engineering. Master's Degree preferred, and/or minimum of seven (7) + years of progressive experience mining large complex data sets, using a variety of advanced quantitative/modelling techniques in a corporate marketing discipline.
  • Expert-level experience in measuring the ROI of digital marketing spend across social, search, and lead aggregators.
  • Minimum of three (3) + years' experience in data manipulation and analysis required.
  • Experienced using the modern data stack (e.g., Databricks, MS SQL) and BI tools (Tableau, PowerBI) to ensure a "single source of truth" for revenue and marketing data.
  • Minimum of three (3) years' experience working in a fast paced, dynamic environment with rapid testing and iteration, moving at the speed of digital markets rather than traditional bank cycles.
  • Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments.

Why work for #teamloanDepot:
  • Aggressive compensation package based on experience and skill set.
  • Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
  • Work with other passionate, purposeful, and customer-centric people.
  • Extensive internal growth and professional development opportunities including tuition reimbursement.
  • Comprehensive benefits package including Medical/Dental/Vision.
  • Wellness program to support both mental and physical health.
  • Generous paid time off for both exempt and non-exempt positions.

About loanDepot:
loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $104,000 and $170,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.
We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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