招聘
Want to help everyday Americans invest and build wealth?Financial inequality is increasing, and too many people are getting left behind. At Stash, we’re passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom. We also believe in working smarter—leveraging AI and emerging technologies to move faster, operate more efficiently, and focus our time on solving meaningful problems for our customers.
The Brokerage Operations Associate will be a crucial addition to our Operations team and will be responsible for daily brokerage operations functions. If you're an equities trading expert with a desire to join a startup and make a huge impact from day 1 -- Stash is looking for you!
What you'll do:
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Complete daily brokerage operations tasks/ workflows, including cash, position, and trading reconciliations to ensure that all operational procedures and risk controls are followed, documented, and properly maintained
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Ensuring the timely settlement of all trades and underlying client allocations, including resolving client and street side breaks
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Review and reconcile house accounts.
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Process trade bookings and cancel/rebills
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Process, monitor and troubleshoot ACATs
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Ensure accuracy of all positions, cash and broker data on firm systems.
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Provide ongoing user account maintenance and review of new and existing account activity
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Monitor and manage mandatory and/or voluntary corporate action events including dividends and interest payments
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Provide support to Legal, Compliance, Product, and Engineering teams to establish, monitor and manage key risk indicators for all functions.
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Identify opportunities to improve operational processes through automation
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Participate in project work, including needs assessment, to build out and scale operational and technology platforms, including QA cycles
What we're looking for:
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1-3 years of brokerage operations/trading experience
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Knowledge of Equities trading, clearance, ACATS, and settlement. Margin experience a plus
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Technology-driven with a focus on the application of operational procedures and automation
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Understanding of FINRA and SEC Regulatory framework
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FINRA Series 99 required. Series 7, 63
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Bachelor’s Degree in Finance, Economics, or quantitative field
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Advanced skills in MS Excel
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Intermediate skills in SQL and VBA/Macros
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Proven hands-on experience with AI tools (e.g., Cursor, ChatGPT, etc.) as a core part of daily workflows, driving productivity and enhancing output quality, alongside a commitment to continuously developing AI expertise
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Consistent integration of AI into workflows and decision-making, with strong judgment—validating outputs, adhering to Stash guidelines (especially for sensitive data), and owning the quality of AI-assisted work
Gold Stars:
- Series 57 or ability to obtain within 90 days
Our Commitment to Diversity, Equity, and Inclusion
We proudly celebrate the unique qualities that make you you, 365 days a year, and not just because it’s the right thing to do or good for business. We embed the principles and practices of diversity, equity, and inclusion (DEI) into all that we do to prioritize people, a Stash core value, and to ensure Stashers of all backgrounds and experiences can be their authentic selves.
We are also proud to be the first and only venture-backed fintech to join the CEO Action for Diversity & Inclusion™, and as an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.
If you require any reasonable accommodations to make your application process more accessible, please reach out to recruiting@Stash.com.
Helping You Invest in Yourself
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Comprehensive total rewards package, comprising compensation (salary and equity) and health care benefits
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Complimentary subscription to Stash+ account
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Flexible work policy – We offer a flexible work environment that blends working from home with in-person collaboration at our NYC office to support productivity and team culture.
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Flexible PTO
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Work-from-home equipment stipends; home internet subsidy
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Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary
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Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health
External Recognition for Stash
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Benzinga’s 2023 Best Brokerage for Beginners and Best Robo-Advisor Awards
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Qorus-Accenture’s 2023 Banking Innovation Awards
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USA Today and Statista’s 2023 Top 500 Best Financial Advisory Firms
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Comparably's Best Company Awards: Best Places to Work, Best Company Outlook, and Best Engineering Team for Diversity, Women, Culture, and more! (2023)
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Fintech Breakthrough Award: Best Personal Finance App (2023)
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Built In ’s Best Places to Work (2022, 2021, 2020, 2019)
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Forbes Fintech 50 (2021, 2020, 2019)
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Best Digital Bank, Finovate Awards (2020)
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Tearsheet Challenge Awards, Best Banking Card Product
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Stock-Back® Card, 2020
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Lend It Fintech Innovator of the Year (2020, 2019)
Salary Range: $80,000- $100,000
The base salary range represents the reasonably anticipated low and high end of the salary range for this position. Actual salaries will vary and will be based on various factors, such as the candidate’s qualifications, skills, experience and competencies, as well as internal equity and alignment with market data for companies of our size and industry.
No recruiters, please
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关于Stash

Stash
Series EStash Financial, Inc., or Stash, is an American financial technology and financial services company based in New York, NY. The company operates both a web platform and mobile apps, allowing users to incrementally invest small amounts, commonly known as micro-investing. It also provides robo advice.
201-500
员工数
New York
总部位置
$1.4B
企业估值
评价
4.1
10条评价
工作生活平衡
3.8
薪酬
3.2
企业文化
4.2
职业发展
3.5
管理层
3.8
75%
推荐给朋友
优点
Flexible hours and good work-life balance
Supportive and collaborative team culture
Learning opportunities and challenging work
缺点
Limited career advancement opportunities
Compensation could be better
High workload and occasional long hours
薪资范围
33个数据点
Mid/L4
Director
Mid/L4 · Manager, Fraud Rules & Data Analysis
2份报告
$138,000
年薪总额
基本工资
$120,000
股票
-
奖金
-
$138,000
$138,000
面试经验
2次面试
难度
2.5
/ 5
时长
14-28周
录用率
100%
体验
正面 50%
中性 50%
负面 0%
面试流程
1
Application Review
2
Recruiter Screen
3
Behavioral Interview
4
Technical Interview
5
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Coding/Algorithm
Culture Fit
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