We’re on the search for passionate, hardworking, and caring individuals who are ready to make a  meaningful impact at our award winning apartment communities each day.  

As one of the top 50 largest multifamily management companies in the country- proudly rooted in  the Southeast—we lead with heart and operate with purpose. Our Live It culture reflects our  commitment to service, connection, and exceeding expectations at every turn.  

If you're looking for a place where your work truly matters – Apply Today!  

Leasing Consultant | Job Overview 

At Hawthorne, Leasing Consultants are known as Leasing & Live It Specialists—the face of the  community and ambassadors of our Live It culture. This role is all about creating standout  experiences and meaningful connections. Whether you’re leading engaging apartment tours,  planning resident events, or responding to daily inquiries, your goal is to ensure every prospect and  resident leaves feeling welcomed, supported, and excited to call Hawthorne home.  

Leasing Consultant | Job Functions 

Create Exceptional First Impressions 

• Greet prospective residents with warmth and professionalism  
• Conduct personalized apartment tours that highlight the lifestyle and value of the  community  
• Respond to phone, email, and web inquiries promptly and thoroughly  

Drive Leasing Success 

• Convert leads to leases through follow-up, relationship-building, and deep understanding  of resident needs  
• Complete leasing applications, verifications, and new move-in paperwork accurately  • Contribute to community occupancy and renewal goals  

Foster Resident Relationships 

• Coordinate and attend resident events and community engagement initiatives  • Respond to resident questions and concerns with empathy and efficiency 
• Promote a clean, welcoming environment by helping maintain office and common areas  

Build Brand & Community Awareness 

• Assist in marketing the property through social media and Community outreach  • Stay informed on local market trends and competitor properties  

What Makes Someone SOAR in This Role? 

• Positive Attitude: Enthusiastic, passionate, and driven within their day-to-day operations.
• Clear Communicator: Confident in-person, over the phone, and online 
• People Service & Customer-Focused: Daily commitment to providing excellent service by  embracing our Live It culture of kindness, community and connection.  
• Persuasive: Naturally influential with a talent for connecting with people, overcoming  objections, and inspiring prospects to choose Hawthorne as home.  
• Willingness to Learn: Embraces the ability to be coached on Hawthorne standard Live It  practices ensuring our communities receive excellent support.  

Work Schedule: 

Our leasing office is open Monday–Friday, 9:00 AM–6:00 PM, and Saturdays, 10:00 AM–4:00 PM.  One weekday off is provided each week to maintain a 40-hour schedule.  

Evening and weekend availability may be required for resident events or based on the unique needs  of the community. 

Leasing Consultant| Education, Experience, and License Qualifications

Education: 

• High School or GED equivalent.  

Experience:  

• One year of customer service experience, sales and/or apartment leasing is preferred but  not required 

Licenses & Certifications: 

• Valid Driver's License 
• A Certified Apartment Leasing Professional Accreditation (CALP) is a plus 

Hawthorne’s Total Rewards Package | Compensation and Benefits 

Leasing-Specific Benefits: Leasing Consultants are eligible for monthly leasing and renewal  commissions, and leasing incentive programs, in addition to their hourly compensation. 

Professional Benefits: Leasing Consultant Today – Assistant Community Manager Tomorrow! Our Career Path Program is offered to all of our employees. When you start at Hawthorne, we want  to see you succeed and grow with us - that is why our Learning and Development team is  committed to your career growth. 

Personal Benefits: 

• Free Dental Insurance 
• Comprehensive and Affordable Plans for Medical and Vision Coverage 
• Health and Wellness Incentives 
• 401k Retirement Match Program 
• Paid Time Off- including your birthday!  
• Paid Sick Time Off  
• Pet Insurance Plans 
• Paid Maternity, Paternity, and Adoption Leave Options 
• Telehealth – Access to Doctors 24/7/365 
• Company Paid Life Insurance 
• Retirement Planning 

Senior Manager, Data Science

Portfolio Management and Loss Mitigation

The Role: 

SoFi is seeking an inspirational and deeply experienced Senior Manager to lead the Portfolio Management and Loss Mitigation function in our Risk Data Science team. Reporting to the Head of Risk Data Science, this role will lead the development, deployment, and governance of portfolio management and loss mitigation models for all credit products.

The ideal candidate is a hands-on leader who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve portfolio performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence stakeholders, and proven success in delivering complex models into a regulated production environment.

What You'll Do: 

• Portfolio Management and Loss Mitigation Excellence: Directly oversee the development and deployment of Next Generation models designed to manage and mitigate portfolio losses while maintaining loss guardrails.
• Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply.
• Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (Macro-Economic variables, tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products.
• Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture.
• Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory).
• Stakeholder Alignment: Interact and negotiate with senior management and external stakeholders to reconcile competing views and drive critical, high-impact business decisions.
• Automation and Efficiency: Lead efforts to automate model monitoring and governance processes to create scalable and auditable infrastructure.

What You'll Need:

• Experience: 8+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 3 years in a people management role, managing technical staff.
• Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.).
• Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference).
• Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment.
• Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS).
• 3+ years of progressive people management experience is required, including the ability to recruit, mentor, and foster talent within a team of high-performing Staff and Senior Data Scientists.
• Communication: Ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Associate's or Bachelor’s degree in (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary: $38,000 - $40,000 
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

The role:

We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our Fraud Model Development Team. This role owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products including Personal Loans, Student Loans, Credit Cards, and Crypto.

The Senior Fraud Model Developer is accountable for measurable fraud loss reduction and false positive improvements within assigned domains. This individual partners closely with Fraud Prevention, Risk, Operations, Finance, Compliance, and ML Platform teams to influence fraud strategy, inform risk tolerance decisions, and ensure models deliver sustained business impact.

This position requires deep expertise in data analytics, statistical modeling, and machine learning, along with the ability to translate complex model performance into clear business outcomes. The ideal candidate brings strong fraud domain knowledge, production ML experience, and a demonstrated ability to manage model risk and complexity at scale

What you’ll do:

The Senior Fraud Model Developer will help SoFi build and scale high-performing fraud modeling solutions by:

• Owning end-to-end development of fraud models within assigned product or risk domains, from problem framing through production deployment and ongoing monitoring
• Driving measurable reductions in fraud loss, false positives, and operational expenses
• Translating model outputs into business impact metrics and influencing fraud strategy decisions
• Aggregating and synthesizing datasets from multiple data environments to design scalable and reusable modeling frameworks
• Analyzing complex datasets to identify drivers of fraud loss and member friction across products
• Conducting trade-off analysis between fraud loss mitigation, customer experience, and regulatory guardrails
• Establishing and maintaining model monitoring standards (e.g., performance metrics, drift detection, recalibration cadence) to proactively manage model risk
• Investigating external risk data and emerging fraud patterns to inform roadmap prioritization
• Partnering with ML Platform teams to productionize models in AWS and improve lifecycle governance
• Reducing model development cycle time by simplifying processes, improving documentation rigor, and creating reusable components
• Handling escalations related to model performance, risk exposure, or business impact within assigned scope
• Influencing roadmap sequencing and contributing to prioritization discussions based on ROI, regulatory considerations, and level of effort

What you’ll need:

• 7+ years of advanced quantitative modeling experience, or
• Master’s degree and 5+ years of related experience, or
• PhD and 3+ years of related experience, or
• Equivalent practical experience
• Demonstrated ownership of production machine learning models with measurable impact on fraud loss or false positive reduction
• Deep expertise in Python, SQL, and data visualization tools (e.g., Tableau)
• Strong knowledge of statistical methodologies and machine learning techniques (e.g., regression, decision trees, gradient boosting, random forests, neural networks, clustering analysis)
• Experience designing, validating, and monitoring models using metrics such as AUC, KS, precision/recall, and drift detection
• Ability to independently determine modeling approaches, manage trade-offs, and execute solutions with minimal guidance
• Experience partnering cross-functionally with Risk, Fraud Ops, Engineering, Finance, and Compliance stakeholders
• Strong communication skills with the ability to distill complex technical concepts into clear business recommendations
• Demonstrated ability to manage risk exposure within projects and proactively escalate with proposed solutions
  
  

Nice to have:

• Direct experience in fintech, banking, payments, or digital fraud risk
• Familiarity with graph databases and network-based fraud detection
• Experience developing and deploying models in AWS environments
• Experience influencing fraud policy or risk tolerance decisions

We’re on the search for passionate, hardworking, and caring individuals who are ready to make a  meaningful impact at our award winning apartment communities each day.  

As one of the top 50 largest multifamily management companies in the country- proudly rooted in  the Southeast—we lead with heart and operate with purpose. Our Live It culture reflects our  commitment to service, connection, and exceeding expectations at every turn.  

If you're looking for a place where your work truly matters – Apply Today!  

Leasing Consultant | Job Overview 

At Hawthorne, Leasing Consultants are known as Leasing & Live It Specialists—the face of the  community and ambassadors of our Live It culture. This role is all about creating standout  experiences and meaningful connections. Whether you’re leading engaging apartment tours,  planning resident events, or responding to daily inquiries, your goal is to ensure every prospect and  resident leaves feeling welcomed, supported, and excited to call Hawthorne home.  

Leasing Consultant | Job Functions 

Create Exceptional First Impressions 

• Greet prospective residents with warmth and professionalism  
• Conduct personalized apartment tours that highlight the lifestyle and value of the  community  
• Respond to phone, email, and web inquiries promptly and thoroughly  

Drive Leasing Success 

• Convert leads to leases through follow-up, relationship-building, and deep understanding  of resident needs  
• Complete leasing applications, verifications, and new move-in paperwork accurately  • Contribute to community occupancy and renewal goals  

Foster Resident Relationships 

• Coordinate and attend resident events and community engagement initiatives  • Respond to resident questions and concerns with empathy and efficiency 
• Promote a clean, welcoming environment by helping maintain office and common areas  

Build Brand & Community Awareness 

• Assist in marketing the property through social media and Community outreach  • Stay informed on local market trends and competitor properties  

What Makes Someone SOAR in This Role? 

• Positive Attitude: Enthusiastic, passionate, and driven within their day-to-day operations.
• Clear Communicator: Confident in-person, over the phone, and online 
• People Service & Customer-Focused: Daily commitment to providing excellent service by  embracing our Live It culture of kindness, community and connection.  
• Persuasive: Naturally influential with a talent for connecting with people, overcoming  objections, and inspiring prospects to choose Hawthorne as home.  
• Willingness to Learn: Embraces the ability to be coached on Hawthorne standard Live It  practices ensuring our communities receive excellent support.  

Work Schedule: 

Our leasing office is open Monday–Friday, 9:00 AM–6:00 PM, and Saturdays, 10:00 AM–4:00 PM.  One weekday off is provided each week to maintain a 40-hour schedule.  

Evening and weekend availability may be required for resident events or based on the unique needs  of the community. 

Leasing Consultant| Education, Experience, and License Qualifications

Education: 

• High School or GED equivalent.  

Experience:  

• One year of customer service experience, sales and/or apartment leasing is preferred but  not required 

Licenses & Certifications: 

• Valid Driver's License 
• A Certified Apartment Leasing Professional Accreditation (CALP) is a plus 

Hawthorne’s Total Rewards Package | Compensation and Benefits 

Leasing-Specific Benefits: Leasing Consultants are eligible for monthly leasing and renewal  commissions, and leasing incentive programs, in addition to their hourly compensation. 

Professional Benefits: Leasing Consultant Today – Assistant Community Manager Tomorrow! Our Career Path Program is offered to all of our employees. When you start at Hawthorne, we want  to see you succeed and grow with us - that is why our Learning and Development team is  committed to your career growth. 

Personal Benefits: 

• Free Dental Insurance 
• Comprehensive and Affordable Plans for Medical and Vision Coverage 
• Health and Wellness Incentives 
• 401k Retirement Match Program 
• Paid Time Off- including your birthday!  
• Paid Sick Time Off  
• Pet Insurance Plans 
• Paid Maternity, Paternity, and Adoption Leave Options 
• Telehealth – Access to Doctors 24/7/365 
• Company Paid Life Insurance 
• Retirement Planning