124 Fintech Analyst jobs in the United States
BSA FinTech Analyst

Posted 24 days ago
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The BSA Fintech Analyst plays a key role in supporting the oversight and execution of Dickinson Financial Corporation's ("DFC") BSA/AML Program within the Banking-as-a-Service (BaaS) segment. Reporting to the Director of BSA, this position is responsible for managing critical components of the Fintech BSA/AML framework in close collaboration with leadership. The Analyst contributes to DFC's mission of delivering BaaS solutions in a safe, sound, and compliant manner by identifying, monitoring, investigating, and reporting suspicious activities related to fraud, money laundering, and other potential violations of law. This role ensures timely and accurate completion of all related tasks and reporting obligations, maintaining strong alignment with regulatory expectations and internal standards.
**Responsibilities**
+ Support the development and ongoing maintenance of BaaS-related policies and procedures in alignment with current regulations, including BSA, AML, CIP, and OFAC requirements.
+ Assist the Director of BSA in evaluating prospective Fintech partners through interviews, policy and procedure reviews, and risk assessments.
+ Monitor daily BSA/AML/CFT and OFAC-related activities of BaaS partners to ensure timely and effective investigation of suspicious or potentially fraudulent transactions.
+ Compile and prepare data for reporting to various levels of management, including the Board of Directors.
+ Gather and organize documentation for BSA/AML-related exams, audits, model validations, law enforcement inquiries, subpoenas, and other regulatory requests.
+ Respond to Section 314(a) Patriot Act search requests by collecting and documenting relevant information.
+ Ensure regulatory reports are prepared accurately, submitted on time, and properly documented and retained.
+ Investigate and draft recommendations for BaaS-related Suspicious Activity Reports (SARs), ensuring thorough and accurate reporting.
+ Maintain quality control standards for all BaaS-related report filings.
+ Collaborate with other business units to streamline and improve compliance-related processes.
+ Actively engage in professional development, including one-on-one meetings, departmental discussions, and other assigned BSA compliance duties.
+ Attend BSA/AML training sessions to stay current on industry best practices, laws, regulations, and internal policies.
+ Conduct all responsibilities in full compliance with applicable laws, regulations, and bank policies.
+ Communicate with branch associates and other departments to clarify client activity, while maintaining strict confidentiality.
+ Make sound, risk-based decisions and recommendations regarding client activity, including escalation or continued monitoring as needed.
+ Protect all client and bank information confidentially and follow all company policies.
+ Understand, communicate, and instill the Company's mission, vision, and values (Pillars of Success).
+ Complete monthly training in a timely manner to ensure knowledge of bank regulatory requirements, policies, and procedures.
+ Working at the worksite during regular business hours and/or assigned hours.
+ Other specified duties as assigned.
**Skills**
+ Strong analytical skills with the ability to conduct thorough and logical investigations.
+ Ability to understand and work with complex concepts independently, with minimal guidance.
+ Adaptability and flexibility in managing shifting priorities, deadlines, and high-volume workflows in a fast-paced environment.
+ Proven ability to build and maintain effective working relationships across departments and with external partners.
+ High level of professionalism and discretion in handling sensitive and confidential information.
+ Keen ability to recognize and assess potentially suspicious client activity.
+ Excellent interpersonal, verbal, and written communication skills.
+ Strong time management skills with the ability to work independently and collaboratively within a team.
+ Exceptional attention to detail, problem-solving abilities, and a commitment to producing high-quality work.
+ Proficiency in Microsoft Word and Excel.
+ Self-driven and results-oriented with a proactive approach to responsibilities.
+ Well-developed organizational skills with the ability to manage multiple tasks efficiently.
**Education & Experience**
+ Bachelor's degree in business administration, Finance, or a related field or equivalent professional experience in a relevant domain.
+ Minimum of 3-4 years of hands-on experience conducting investigations in BSA/AML compliance. Required.
+ Strong understanding of Banking-as-a-Service (BaaS), Fintech, and/or traditional banking operations and systems. Required.
+ Proficiency with BSA/AML interdiction software is required. Familiarity with platforms such as Verafin or Unit21 is preferred.
+ Demonstrated ability to make timely, high-quality decisions in complex or ambiguous situations. Strong analytical and critical thinking skills are essential.
**Physical Requirements**
The work environment is typical of a standard office or retail banking setting. The position is sedentary, involving sitting most of the workday; however, the position will involve moving about the workspace to reach entrances/exits, restrooms, conference rooms, or other areas within the work environment. Reaching may be required involving the ability to move arms in any direction. Office equipment, such as a computer and telephone, will be used requiring the ability to manipulate a keyboard, mouse, and/or keypad. The ability to decipher a computer screen or written documents is necessary. The ability to express or exchange ideas; impart information to clients, coworkers, or the public; or to convey detailed or important instructions; is required. The ability to receive and understand detailed information shared through oral or written communication is required. Position requires lifting and/or the exerting of up to 10 pounds of force.
**Benefits**
Full‐time associates are eligible for our benefits package:
+ Medical
+ Dental
+ Vision
+ 401(k) plan
+ Company paid life insurance
+ Short and Long-term disability insurance
+ Company paid vacation, paid leave and holidays
This position will remain open until a qualified applicant is hired.
Equal Opportunity Employer/Disabled/Veterans
Academy Bank and Armed Forces Bank provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, protected veteran status, disability. Academy Bank and Armed Forces Bank provides affirmative action data on protected veteran status or disability. If you need an accommodation for any part of the employment process, please email
Senior Fintech Analyst
Posted 16 days ago
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Remote Senior Fintech Analyst
Posted 7 days ago
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Job Description
The successful candidate will have a Master's degree in Finance, Economics, Computer Science, or a related field, coupled with extensive experience in financial services or fintech. Proven expertise in financial modeling, market analysis, and strategic planning is essential. A strong understanding of digital payments, blockchain, AI in finance, and other key fintech domains is required. Excellent analytical, quantitative, and problem-solving skills are paramount. Exceptional communication and interpersonal skills are necessary to effectively collaborate with diverse teams and present complex information clearly. This role requires a proactive, self-motivated individual who thrives in a remote work environment and can manage their time and priorities effectively. As a fully remote position, you must have a reliable internet connection and a dedicated workspace conducive to productivity. The ability to work across different time zones may be required. If you are a strategic thinker with a passion for innovation in financial technology and possess the drive to lead impactful projects, we encourage you to apply and help shape the future of finance.
Senior FinTech Analyst - Remote
Posted 14 days ago
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Senior Quantitative Analyst - FinTech
Posted 1 day ago
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Job Description
Key Responsibilities:
- Develop, backtest, and implement quantitative trading strategies and financial models.
- Conduct rigorous statistical analysis and data mining of large financial datasets to identify market patterns and opportunities.
- Design and build predictive models for asset pricing, risk assessment, and portfolio optimization.
- Collaborate closely with portfolio managers, traders, and software engineers to integrate quantitative insights into investment decisions and trading platforms.
- Perform in-depth risk analysis and develop risk mitigation strategies.
- Ensure the accuracy, robustness, and efficiency of all quantitative models and systems.
- Stay abreast of the latest academic research, industry trends, and technological advancements in quantitative finance.
- Develop and maintain clear, concise documentation for all models, methodologies, and findings.
- Contribute to the development of proprietary trading systems and analytical tools.
- Present complex quantitative findings and recommendations to senior management and stakeholders in a clear and understandable manner.
- Work in an agile development environment, participating in code reviews and contributing to team sprints.
- Identify and implement improvements to data quality, processing, and analysis workflows.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading within the financial industry.
- Proven expertise in statistical modeling, time series analysis, machine learning, and optimization techniques.
- Advanced programming skills in languages such as Python, R, C++, or Java, with a strong focus on data manipulation and scientific computing libraries (e.g., NumPy, SciPy, Pandas).
- Experience with financial market data and trading platforms is essential.
- Solid understanding of financial instruments, markets, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex quantitative concepts effectively in a virtual setting.
- Proven ability to work independently, manage multiple projects, and deliver high-quality results under pressure in a remote environment.
- Experience with cloud computing platforms (e.g., AWS, Azure) and big data technologies is a plus.
Senior Quantitative Analyst - Fintech
Posted 5 days ago
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Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative finance, algorithmic trading, or risk management.
- Strong programming skills in Python, R, C++, or Java, with experience in scientific computing libraries.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Expertise in statistical modeling, econometrics, machine learning, and time series analysis.
- Proven experience in model development, validation, and deployment.
- Excellent analytical and problem-solving abilities.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with big data technologies and cloud platforms is a plus.
- Ability to work effectively in a remote, self-motivated environment.
Senior Quantitative Analyst (FinTech)
Posted 6 days ago
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Job Description
Responsibilities include designing, implementing, and backtesting complex trading algorithms, developing and maintaining risk models, and performing in-depth statistical analysis of market data. You will collaborate closely with portfolio managers, traders, and software engineers to refine models and integrate them into production systems. This role requires a strong capability in data manipulation and analysis using Python, R, or similar languages, along with expertise in machine learning techniques applied to financial markets. You will also be responsible for generating comprehensive reports and presentations to communicate findings and recommendations to senior management. The ability to identify and address complex quantitative challenges, and to innovate new analytical approaches, is paramount. The position demands a rigorous and detail-oriented mindset, with a commitment to accuracy and reproducible research. You will contribute to the firm's intellectual capital and help shape its future strategies in an ever-evolving financial landscape.
Qualifications for this role include a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science. At least 5 years of relevant experience in quantitative analysis, financial modeling, or algorithmic trading is mandatory. Demonstrable expertise in Python and/or R, including libraries for data analysis and machine learning (e.g., Pandas, NumPy, SciPy, Scikit-learn), is essential. Experience with SQL and database management is also required. Strong knowledge of financial markets, derivatives, and trading strategies is a significant advantage. Excellent analytical, problem-solving, and communication skills are necessary, particularly for effectively conveying technical concepts in a remote setting. The ability to work independently, manage time effectively, and contribute proactively to a remote team is critical for success in this role.
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Senior Quantitative Analyst - FinTech
Posted 9 days ago
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Job Description
Responsibilities:
- Develop, backtest, and implement quantitative trading strategies and models.
- Design and build sophisticated algorithms for pricing, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis of financial market data to identify trends and opportunities.
- Collaborate with engineering teams to integrate quantitative models into production systems.
- Develop and maintain data pipelines for analysis and model building.
- Perform rigorous model validation and risk assessment.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and computational statistics.
- Communicate complex analytical findings and model insights to both technical and non-technical stakeholders.
- Contribute to the strategic direction of the firm's quantitative research and development efforts.
- Mentor junior quantitative analysts and contribute to a culture of continuous learning and innovation.
Qualifications:
- Master's or Ph.D. in Quantitative Finance, Statistics, Mathematics, Computer Science, Physics, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading, preferably in the FinTech or hedge fund industry.
- Expertise in statistical modeling, time series analysis, and stochastic calculus.
- Advanced programming skills in Python, C++, or Java, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
- Proven experience with machine learning techniques and their application in finance.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Ability to work independently and effectively manage projects in a remote, fast-paced environment.
- Strong communication and presentation skills, with the ability to articulate complex concepts clearly.
Senior Quantitative Analyst - FinTech
Posted 11 days ago
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Job Description
As a Senior Quantitative Analyst, your key responsibilities will include:
- Developing, backtesting, and implementing sophisticated quantitative models for trading strategies, risk management, and portfolio optimization.
- Analyzing large datasets to identify market trends, predict asset price movements, and uncover trading opportunities.
- Designing and conducting rigorous statistical analysis to validate model performance and identify areas for improvement.
- Collaborating with portfolio managers, traders, and risk managers to translate business needs into quantitative solutions.
- Building and maintaining efficient and scalable data infrastructure and analytical tools.
- Communicating complex quantitative concepts and findings clearly and concisely to both technical and non-technical audiences.
- Staying current with the latest advancements in quantitative finance, machine learning, and data science.
- Ensuring compliance with regulatory requirements and internal risk policies.
- Mentoring junior analysts and contributing to the team's overall technical expertise.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Proven experience in developing and deploying quantitative models in a financial services environment is essential. Strong programming skills in languages like Python, R, C++, or Java, along with expertise in statistical modeling, machine learning algorithms, and data manipulation techniques, are required. Excellent analytical, problem-solving, and communication skills are crucial for success in this collaborative, office-based role. Experience with financial markets and trading systems is a significant advantage.
Location: **San Antonio, Texas, US**.
Senior Quantitative Analyst (FinTech)
Posted 14 days ago
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Job Description
You will be instrumental in designing, developing, and implementing quantitative models that drive trading decisions and enhance the firm's competitive edge. This involves rigorous backtesting, performance analysis, and continuous refinement of algorithms. Collaboration with portfolio managers, traders, and software engineers is essential to translate complex analytical insights into practical, high-impact solutions. A deep understanding of financial instruments, market microstructure, and econometrics is paramount.
Key responsibilities include:
- Developing and implementing advanced quantitative models for trading and risk management.
- Performing statistical analysis and econometrics on large financial datasets.
- Designing and executing rigorous backtesting and validation procedures for trading strategies.
- Collaborating with portfolio managers and traders to identify investment opportunities and manage risk.
- Building and maintaining pricing models for various financial derivatives.
- Contributing to the development of cutting-edge FinTech products and platforms.
- Staying abreast of the latest academic research and market trends in quantitative finance.
- Communicating complex quantitative concepts to both technical and non-technical stakeholders.
- Optimizing model performance and computational efficiency.
The ideal candidate holds a Master's or Ph.D. in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, or Computer Science. A minimum of 5 years of experience in quantitative finance, algorithmic trading, or a related role is required. Proficiency in programming languages such as Python, C++, or R is essential, along with strong experience in data manipulation and statistical libraries. Experience with machine learning techniques applied to finance is a plus. This role demands exceptional analytical rigor, creativity, and the ability to thrive in a fast-paced, remote-first environment. Join our client in shaping the future of finance from the comfort of your home, contributing to significant advancements in quantitative strategies from New York City, New York, US .