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Job Description

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the worlds financial system we touch nearly 20% of the worlds investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

Job Description

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the worlds financial system we touch nearly 20% of the worlds investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about.

Were seeking a future team member for the role of Vice President, Data Management & Quantitative Analysis II to join our Corporate Trust Analytics team. This role is a hybrid work schedule (4 days a week in office) located out of our Houston, TX office.

In this role, you will make an impact in the following ways:

• Working with internal and external datasets and client reference data, and providing analysis in the development of statistical, financial and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure or other sophisticated concepts.
• Computing statistical values, identifying model development performance, and comparing the model results to test data while also taking necessary corrective action.
• Utilizing your understanding of which analyses, methodologies and approaches best support assessment of performance, risk, or valuation.
• Reviewing and interpreting complex legal documents.
• Preparing ad hoc reports and being a strong contributor to team goals.
  
  

• Bachelors or Masters in computer science, MIS, or Information Management, Data Science or equivalent.
• 6-8 years of experience preferred with strong analytical, problem-solving and communication skills.
• Experience in quantitative finance and technology preferred with strong proficiency in SharePoint and MS Excel including advanced functions and data manipulation techniques
  
  

• Americas Most Innovative Companies, Fortune, 2024
• Worlds Most Admired Companies, Fortune 2024
• Human Rights Campaign Foundation, Corporate Equality Index, 100% score,
• Best Places to Work for Disability Inclusion, Disability: IN 100% score,
• Most Just Companies, Just Capital and CNBC, 2024
• Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
• Bloombergs Gender Equality Index (GEI), 2023
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Business Development and Sales

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At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Quantitative Analyst at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

As a Manager Associate, Quantitative Analysis within the Model Risk Office, you will be part of the model validation team, working on the validation of CECL, CCAR stress testing models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy. With a network of over 500 quantitative analysts and data scientists, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

Responsibilities and Skills:

• Develop and implement validation strategies for models used to support CCAR stress testing process, including, statistical and financial models.
• Assess the quality and risk of model methodologies, outputs, and processes.
• Develop alternative model approaches to assess model design and advance future capabilities.
• Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights in assessing model risks and opportunities.
• Communicate clearly and concisely both verbally and through written communication via model validation reports and presentations.
• Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.

Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

Successful candidates would possess:

• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Demonstrated track-record in econometric analysis.
• Experience utilizing model estimation tools.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Drive to develop and maintain high quality and transparent model documentation.
• Strong written and verbal communication skills.
• Strong presentation skills.
• Appreciation for processes, controls, and good governance.
• Ability to manage complex projects that require cross-team collaboration.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
• A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

Preferred Qualifications:

• Ph.D. in Economics, Statistics, Finance or related disciplines.
• Experience in structural model, economic modeling and forecasting.
• Experience or related research experience in macroeconomics, international finance, labor market, industrial organization, behavior models and financial modeling.
• 2 years of experience with Python, R or other statistical analyst software.
• 2 years of experience manipulating and analyzing large data sets.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $193,400 - $220,700 for Manager, Quantitative Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Title: Quantitative Developer

Location: Jersey City, NJ - 5 days onsite role

6-12+ Months contract

Job Description:

• Knowledge: Linear Algebra, statistics, and time series analysis
• Technical: Proficient in Python, Java, SQL
• Experience implementing analytics in risk/calc engine to generate valuation, return and 1st order risk measures.
• Good understanding of equity and fixed income products, Exchange traded derivates, portfolio analysis, fund accounting and NAV calculation.

• A Calculation Engineer, also known as a Simulation Engineer, uses computational methods and software to analyze and evaluate the performance, stability, and safety of products and systems. They perform simulations to test various parameters like load, stress, thermal expansion, and service life, ensuring designs meet requirements and optimize performance.
• Key Responsibilities:
• Simulation and Analysis: Conducting simulations using specialized software to analyze product behavior under different conditions.
• Performance Evaluation: Assessing factors like load capacity, stability, and material resilience based on simulation results.
• Design Optimization: Identifying areas for improvement in product design by analyzing simulation data and suggesting modifications.
• Report Generation: Preparing detailed reports, calculations, and technical justifications based on simulation results.
• Collaboration: Working closely with other engineering disciplines (e.g., mechanical, civil, process) to integrate simulation results into the overall design process.
• Compliance: Ensuring calculations and analyses adhere to relevant industry standards and codes.
• Tools and Technologies:
• Simulation Software: Often utilizes specialized software like CAESAR II, Pipestress, or similar tools for specific engineering domains.
• CAD/CAE:May use computer-aided design (CAD) and computer-aided engineering (CAE) software for modeling and analysis.
• Programming: May involve programming skills (e.g., Python) for scripting and automating calculations.
• In essence, Calculation Engineers bridge the gap between theoretical design and practical application by using computational methods to predict and optimize the performance of engineered systems.

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Assistance in maintaining metrics essential for accurate reporting to management on this initiative.
• Experience in data analysis and reporting
• Proficiency in all Microsoft office productivity products, including excel
• Basic understanding of application architecture and IT infrastructure
• General understanding of Software Asset Management concepts
• Excellent collaborative skills
• Ability work on multiple activities simultaneously
• Experience in working in a team environment with responsibilities that are time sensitive

Manager- Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $180,800 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Analysis Intern

Organization: The Housing Collective

Reports to: Data & Impact Manager

Location: Hybrid

Status: Part-Time

THE HOUSING COLLECTIVE:

The Housing Collective is a CT-based nonprofit agency that applies a Collective Impact framework to deliver solutions to the most pressing housing problems. Focused on ending homelessness and creating equitable housing opportunities for all, the Housing Collective provides the leadership and support that enables productive, regional collaboration across organizations and sectors, and drives systems change.

Formerly known as Supportive Housing Works, we have worked since 2004 to align communities and resources around collaborative regional responses to homelessness and housing affordability. Our two core initiatives, Opening Doors and the Centers for Housing Opportunity, provide leadership and facilitate the strategic coordination of hundreds of housing and homelessness organizations in multiple geographies, forming a “backbone” for the housing system throughout Western CT.

PURPOSE OF POSITION:

The Innovation Lab is an initiative of The Housing Collective (HC) dedicated to maximizing the power of data, research, and lived expertise to find innovative solutions to housing instability and homelessness in Connecticut and more broadly. HC’s Innovation Lab is rooted in curious inquiry, rigorous analysis, and inclusive action. The Lab combines technological innovation, data analysis and visualization, lived experience, equity-rooted storytelling, needs analyses, system modeling, training and technical assistance, and participatory action research to end homelessness and create equitable housing opportunities for all in Connecticut.

The Data Analysis intern will work closely with the Lab staff (Data and Impact Manager and Interim Director) to manage, organize, and analyze Lab data across all Housing Collective efforts. This will include survey responses, client information, housing data, and more. Intern may be asked to collaborate with Lab staff to prepare data visually for presentation to stakeholders.

This position is designed for a student or early-career professional looking to develop their skills in data analysis in service of community good.

This internship provides a unique opportunity to gain hands-on experience with real-world housing data and analytics while receiving mentorship and skill-building support from experienced professionals.

This is a part-time internship requiring approximately 15-20 hours per week for the summer internship and 10-15 hours per week during the fall and spring semesters , with flexible scheduling options. The role may be remote or hybrid, depending on organizational needs and the intern's location. Compensation of $20 per hour is provided.

Fall internships run from September through the end of December; Spring internships run from February to May; and Summer internships run from May or June through August or September.

RESPONSIBILITIES

The Data Analysis Intern will play a vital role in driving system change and improving programs by delivering meaningful data insights to key decision-makers. By transforming raw data into clear, actionable information, they will support policymakers, service providers, and community advocates in making informed, equity-focused decisions that strengthen housing systems and enhance service delivery.

Manage, Organize, and Analyze Data

• Gather Data: May include conducting surveys, pulling reports from HMIS or smartsheets, or locating datasets from regional, state, and national databases.
• Clean Data: Review data for duplicates, errors, or outliers. Prepare data in spreadsheets, pivot tables, or simple reports for Lab and Housing Collective staff. Ensure that data is of high quality and that the results are accurate.
• Model Data: Assist in creating clear visualizations in answer to questions being asked by Housing Collective staff and partners

Additional projects and job duties may arise or be created depending on the intern’s interests and Housing Collective’s needs.

COMPETENCIES

• Commitment to the success of the Innovation Lab and The Housing Collective
• High attention to detail, documentation, and procedures
• Problem-solving mentality, proactively looking for ways to improve and taking the initiative to execute solutions
• Demonstrated proficiency in some or all of the following technology platforms:
  • Microsoft Excel
  • Google Sheets
  • Smartsheets
  • SQL
  • Tableau
  • R or Python
  • SAS
  • Microsoft Power BI
  • Jupyter Notebooks
• Excellent time management skills and ability to prioritize work strategically
• Ability to work both independently and collaboratively in a fast-paced environment

We are seeking a dedicated and experienced Data Analysis Team Leader to spearhead our data analytics division. In this pivotal role, you will lead a dynamic team of data analysts, driving strategic insights and ensuring data-driven decision-making across the organization. Your expertise in data interpretation, coupled with exceptional leadership skills, will empower your team to deliver innovative analytical solutions that enable us to achieve our business objectives. You will be responsible for overseeing the entire data analysis process, from data collection and processing to the presentation of findings to stakeholders. You will work closely with cross-functional teams to understand their data needs and convert complex data sets into actionable insights. A key aspect of this role will be fostering a collaborative environment that encourages professional development and promotes best practices in data analysis. The ideal candidate will possess a strong analytical mindset and a passion for leveraging data to solve complex business challenges. This is an exciting opportunity for an individual who is ready to make a significant impact and drive our data initiatives to new heights.

Responsibilities:

• Lead and manage a team of data analysts, providing guidance and support in analysis efforts.
• Oversee data collection, processing, and analysis to ensure accuracy and reliability of insights.
• Collaborate with stakeholders to define analytical needs and provide strategic recommendations based on data analysis.
• Develop and implement data analysis methodologies and best practices to enhance team productivity and output quality.
• Prepare and present detailed reports and presentations summarizing analytical findings to senior management and other stakeholders.
• Monitor team performance and provide training and mentoring to enhance the team's skill sets.
• Stay updated with industry trends and technological advancements in data analysis and incorporate them into team practices.

Requirements

• Fluent in both English and Chinese.
• Strong communication skills, both verbal and written, to convey complex data insights clearly and concisely.
• Proven experience in a data analysis role with at least 3 years of leadership responsibilities.
• Strong proficiency in data analysis tools such as SQL, Excel, and data visualization software like Tableau or Power BI.
• Excellent analytical and problem-solving skills, with a strong focus on detail and accuracy.
• Demonstrated ability to work collaboratively across teams and effectively manage stakeholder relationships, especially with different Marketing funtional teams.
• Experience in project management and the ability to manage multiple projects simultaneously with competing deadlines.

Benefits

What We Offer:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package, including health, dental, and retirement plans.
• Opportunities for professional growth and development.
• A dynamic and collaborative work environment.

Base pay for a successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is $140,000-$160,000. This role is also eligible to participate in our discretionary bonus plan.

Disclaimer

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Futu Holdings Limited, including all subsidiaries, is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

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All communications to you will come from a business email address. We do not hire through text message, social media, or email alone, and any interviews will be conducted in person or through a video call. We will not ask you for bank account information nor ask you to pay anything during the hiring process.

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