hackajob

Lead and deliver development of scalable verification systems, mentor team members, and ensure high-quality software delivery in a hybrid environment. | Senior developer with leadership experience, strong problem-solving skills, and expertise in React, Typescript, Golang, and cloud technologies. | hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role. We are seeking passionate and experienced Senior Developer to join our dedicated Verification team as we embark on a ground up re-architecture. In collaboration with our UK teams, you will be enhancing and supporting our business critical Verification platform; from the delivery of real time facial recognition systems utilising innovative AI technology to core operational tooling. Verification operates as a full stack team who are in the process of undertaking a ground up re-architecture into Golang, react and cloud platforms. Core skills within the team are Kafka, SQL, .Net, Golang and Typescript; We are looking for candidates with solid experience in one or more of these technologies, though expertise in similar or alternative technologies are welcome. In collaboration with our UK teams, you will work alongside our Technical Leads to design and implement robust verification systems, while ensuring the highest quality standards for our software products, in a fast-paced, hard working environment. Your skills as a lead developer should set the standard to a talented group of developers to innovate and excel in delivering reliable solutions, while fostering a collaborative and dynamic environment. We hire people with a broad set of technical skills who are ready to tackle some of technology’s greatest challenges. This role is eligible for inclusion in the Company’s hybrid working from home policy. The listed salary for this position is $125,000 - $155,000 annually. Preferred Skills And Experience - Experience in leading development teams and delivering technical projects to successful completion. - Experience in coaching and mentoring in technical subject areas. - Ability to prioritize people and conversations over process. - Excellent problem solving skills and the ability to work in a fast paced pressured environment. - Commercial experience using Cloud Platforms. - Knowledge of React and Typescript. - Experience with Golang Micro services. - Exposure to C#, .net, MSSQL and/or WPF. What you will be doing - To be an escalation for the team both in and out of office hours. - To lead and deliver the development of scalable, maintainable and performant systems. - Applying active governance around overall solution design, while setting the standard for code quality and delivery within the team. - Ensuring solutions meet the needs of the business. - Taking responsibility for work estimation, producing solution documents and ultimately ensuring accurate portrayals of effort can be obtained and subsequently delivered. - Having or gaining an in depth understanding of the technical structure, domain and architecture of the systems the team is responsible. - Lead a small team of developers in the design and development of a solution from start to finish. - Owning technical solutions and their hands on delivery from development to live at low level. - Distributing knowledge and mentoring of team members. Employee Perks - Strong Health & Wellness plans - 33 days PTO per year - 401(k) with company match - Annual Bonus Plan

Lead execution of firmwide data product strategy to enhance data reuse and analytics capabilities. | Requires 5+ years in data management and AI/ML domains, 3+ years in product management or related roles, strong problem-solving and communication skills. | hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase propels the firm's data and analytics journey, ensuring data quality and security while leveraging insights for better decision-making. By utilizing AI and machine learning, the CDAO supports commercial goals and strengthens risk management. The Strategy and Execution team defines and implements the CDAO vision, maximizing data value globally through governed practices. Our diverse team values innovation, strategic thinking, and fosters an environment where data-promoten decision-making and creative problem-solving thrive. As a Vice President – AI Data Products within the CDAO, you will help execute the Firmwide transition towards a Data Product approach as part of our larger data strategy. You are business and technology-savvy, highly solution oriented, and a self-starter who will help implement the approach to define, develop and register data products, so that a collection of curated data for a specific business need can be easily re-used across the organization thereby increasing speed to insight and enabling novel analytics. You will coordinate with the Chief Data Officers of each of Line of Business and Corporate Functions to build a culture of data product management, help planning for hiring and training Data Product Managers across JPMorgan Chase. You will help them to define and execute their data product vision and landscape. Additionally, you will collaborate with other teams within the CDAO organization to execute on the aligned data and analytics strategies. Job Responsibilities • Execute and refine the approach for data product development at JPMC. • Gather feedback from existing data product teams, and from new pilot implementation to refine the data product guidance for the organization. • Collaborate with Lines of Business and Corporate Functions to determine the high-priority data products they need to build and support for defined business needs, while making them extensible for organization-wide usage. • Ensure data products across the organization are registered consistently in the Firmwide data catalog to ensure they are easily discoverable across the organization. • Lead the creation of strategic reports and white papers that articulate various aspects of organization wide data strategy initiatives, synthesizing inputs from subject matter experts. • Define data product effectiveness metrics (OKRs and KPIs), implement evaluation frameworks, and provide synthesized analysis and strategic insights to senior management and relevant stakeholders. • Communicate complex data concepts and insights to non-technical stakeholders in a clear and actionable manner. • Collaborate with other Firmwide CDAO teams to refine existing data strategies and define new approaches to meet the evolving needs of the business. • Serve as a trusted advisor to data leaders across the organization, driving adoption of best practices through collaboration. Required Qualifications, Capabilities And Skills • 5+ years of relevant experience in data management, data engineering, artificial intelligence and machine learning domains. • 3+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher. • Demonstrated ability to solve complex problems with multiple constraints, employing sound judgment to assess risks and articulate solutions through well-structured, data-driven written narratives. • Proven ability to engage with engineers, designers, and company leaders in a constructive and collaborative relationship. • Ability to think innovatively while applying a rigorous, data-led disciplined approach to data product management and innovation. • Exceptional analytical, problem solving, communication and presentation skills. • Ability to articulate business needs to technical teams and convey technical issues to business leadership. • Strong attention to detail and quality, with excellent written and verbal communication. Preferred Qualifications, Capabilities And Skills • Familiarity with the financial services industry • Proficiency in data management tools. • Familiarity with common cloud-native data analysis platforms such as Databricks, Snowflake, Starburst • Familiarity with data governance and regulatory requirements (e.g. BCBS 239, GDPR, CCPA). • Proven ability to lead teams, manage stakeholder expectations, and partner with cross functional teams. • Knowledge and experience of building or managing data products and datasets delivering business needs ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Lead analytics teams to deliver advanced data-driven insights supporting business growth and strategy. | Extensive experience in analytics leadership, advanced quantitative skills, and ability to influence senior stakeholders in financial services. | hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Job Description Bring your expertise to JPMorganChase and help shape how we serve small business clients through data-driven strategy. You will lead a high-performing organization and turn advanced analytics into measurable business outcomes, influencing senior leaders and accelerating innovation. As a Data Scientist Director at JPMorganChase within the Business Banking Client Analytics team, you will set the analytics vision and lead end-to-end delivery of solutions that support business growth, customer engagement, and market expansion. You will synthesize internal and external data to clarify the competitive landscape and inform executive decision-making. You will also develop and inspire leaders across data science and analytics, building an inclusive culture that values intellectual rigor, continuous improvement, and practical impact. Job Responsibilities • Lead and develop a team of analytics leaders, data scientists, and analysts delivering advanced analytics and strategic insights for business banking strategy • Define and execute customer segmentation and targeting frameworks to identify and size growth opportunities • Build measurement and experimentation capabilities, including test-and-learn and causal approaches, to quantify impact and optimize outcomes • Translate client, product, and transaction data into actionable insights that inform marketing, product, and servicing strategies • Develop competitive intelligence analytics that monitor market trends, competitor positioning, and relevant industry benchmarks • Synthesize internal and external data sources (including vendor partnerships) to provide senior leaders a clear view of the competitive landscape • Partner closely with Strategy, Finance, Risk Management, Compliance, Internal Audit, Investor Relations, and Data Governance to ensure analytic integrity and effective controls • Establish clear goals and performance expectations; coach, mentor, and support career development across all levels of the team • Attract, hire, onboard, and retain top analytics talent while strengthening skills through ongoing development programs • Champion innovation, continuous improvement, and adoption of analytics solutions across the broader organization Required Qualifications, Capabilities, And Skills • Master's degree or PhD in Statistics, Data Science, Computer Science, Operations Research, Applied Mathematics, Economics, or a related quantitative discipline • 10+ years of relevant experience in analytics, data science, or applied quantitative research in financial services • 5+ years of applied quantitative research or model development experience supporting business banking or commercial financial institutions • Demonstrated experience leading and managing teams of data scientists, analytics professionals, or technical experts • Proven ability to deliver analytics-driven recommendations to business stakeholders in a consulting or advisory capacity (internal or external) • Strong communication and storytelling skills, including translating complex technical concepts into clear strategies and influencing senior stakeholders • Strong analytical and problem-solving skills, with the ability to frame ambiguous business problems into structured analytic approaches • Strong risk and control mindset, including sound judgment, attention to data integrity, and appropriate issue escalation Preferred Qualifications, Capabilities, And Skills • Experience in retail banking, small business banking, or commercial banking • Experience enabling analytics adoption through change management, self-service analytics, or organizational enablement • Experience using modern artificial intelligence tools and platforms (for example, Microsoft Copilot or similar technologies) • Proficiency in Python, R, and SQL, plus experience with modern data platforms (for example, Snowflake or Databricks) • Deep knowledge of machine learning and advanced analytics methods, including supervised and unsupervised learning, predictive modeling, natural language processing, and experimentation frameworks ABOUT US Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions â all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.